KR102565528B1 - Intelligent recycling device for sorting multiple recyclables - Google Patents

Abstract

The intelligent recycling collection device of the present invention,
A sorting module divided into a plurality of rooms, a first camera disposed in front of the sorting module, and a second camera disposed on an upper surface of the sorting module, a display, and a processor, wherein the processor comprises: It is determined whether or not at least two objects exist in each of the plurality of spaces using a first image acquired through a first camera and a second image acquired through the second camera, and When at least two objects do not exist in each object, the first image is applied to an artificial intelligence model for determining the type of a specific object to determine the type of object corresponding to at least one object in the first image. And -The artificial intelligence model is learned based on data on the shape, color, and size of a plurality of objects-, and when the object type of the at least one object is a transparent PET bottle for beverage, through the first camera It is set to determine whether a foreign substance is detected from the at least one object based on at least one of an acquired third image or sensor data obtained through a foreign matter detection sensor corresponding to a space where the at least one object is located. Various other embodiments are also possible.

Description

Intelligent recycling collection device capable of simultaneously sorting multiple recyclables using an artificial intelligence model {INTELLIGENT RECYCLING DEVICE FOR SORTING MULTIPLE RECYCLABLES}

Embodiments of the present invention relate to an intelligent recyclables collection device capable of simultaneously sorting a plurality of recyclables using an artificial intelligence model. Specifically, the present invention relates to an intelligent recyclables collection device that judges containers put into the inside according to predetermined selection criteria and automatically classifies and processes the containers.

Recently, interest in resource circulation solutions is increasing. Among the used articles, there are reusable articles and non-reusable articles. Items that can be reused are collected separately and reused to efficiently utilize scarce resources.

However, the process of separate collection of recyclables is carried out manually by members of each household or laborers, and equipment capable of automatic mass sorting of wastes is used only by professional businesses such as waste treatment companies due to cost and space problems. situation is becoming.

In particular, in the past, all plastic types were treated the same and collected separately, but in the case of plastic containers, so-called PET bottles, the presence or absence of a label, color, etc. must be distinguished in order to be reused as a resource, so the conventional classification method is useless. It is pointed out that

Among plastics, which are representative recyclables, the need to distinguish between reusable and non-reusable items is emerging. For example, transparent PET bottles for drinks belong to reusable items, but opaque PET bottles, transparent PET bottles for non-drinks, or general plastics may belong to non-reusable items. In addition, the sorting device needs a function of immediately sorting out a plurality of the above products.

An intelligent recyclables collection device according to an embodiment of the present invention solves the problem of mixed collection and proposes a device capable of classifying a plurality of objects at the same time while overcoming the limitations of the recyclables sorting system.

The intelligent recycling collection device of the present invention,

A sorting module divided into a plurality of rooms;

A first camera disposed on the front surface of the sorting module and a second camera disposed on the upper surface of the sorting module;

display, and

contains a processor;

the processor,

Determining whether or not at least two objects exist in each of the plurality of spaces using a first image obtained through the first camera and a second image obtained through the second camera;

When at least two objects do not exist in each of the plurality of spaces, by applying the first image to an artificial intelligence model for determining the type of a specific object, corresponding to at least one object in the first image Determining the type of object - the artificial intelligence model is learned based on data on the shape, color, and size of a plurality of objects -,

When the object type of the at least one object is a transparent PET bottle for beverage, the third image obtained through the first camera or the sensor data obtained through the foreign matter detection sensor corresponding to the space where the at least one object is located It is set to determine whether a foreign material is detected from the at least one object based on at least one of the above.

An intelligent recycling collection device capable of simultaneously sorting a plurality of recyclables by utilizing an artificial intelligence model according to an embodiment of the present invention, when a user puts a plurality of objects into a plurality of spaces, respectively, determines whether the plurality of objects are of different types. Since it can be checked at the same time, it is possible to provide an effect of increasing the classification speed of the object while reducing the waiting time of the user.

In addition, in the intelligent recycling collection device capable of simultaneously sorting a plurality of recyclables using an artificial intelligence model according to an embodiment of the present invention, each collection box installed at a certain angle is installed inside, and the collection box that matches the classified objects is temporarily installed. By putting the stopped and sorted objects into the collection box, it is possible to provide an effect of conveniently collecting the objects.

In addition, the intelligent recyclables collection device capable of simultaneously sorting a plurality of recyclables by utilizing the artificial intelligence model according to an embodiment of the present invention transmits and receives data to the outside when the loading amount of some of the plurality of collection boxes approaches or reaches the set collection target value. Accordingly, it is possible to open the lower end of the other collection box while notifying this and additionally collect the classified object, thereby providing an effect of maintaining the classification while maintaining the collection route of the corresponding object.

1A is a view showing the appearance of an intelligent recyclables collection device according to an embodiment of the present invention.
Figure 1b is a view showing a front view of the upper exterior of the intelligent recyclables collection device according to an embodiment of the present invention.
2 is a diagram showing the internal structure of an intelligent recyclables collection device according to an embodiment of the present invention.
3 is a diagram illustrating an intelligent recyclables collection system according to an embodiment of the present invention.
4 is a block diagram of an intelligent recyclables collection device according to an embodiment of the present invention.
5 is a diagram for explaining an example of an artificial intelligence model of an intelligent recyclables collection device according to an embodiment of the present invention.
6 is a flowchart of an operation of an intelligent recyclables collection device according to an embodiment of the present invention.
7 is a view for explaining a first-class sorting container according to a sorting criterion of an intelligent recyclables collection apparatus according to an embodiment of the present invention.
8 is a view for explaining a second-class sorting container according to a sorting criterion of an intelligent recyclables collection device according to an embodiment of the present invention.
9 is a flowchart of an operation of an intelligent recyclables collection device according to an embodiment of the present invention.
10 is a diagram for explaining the detection of foreign substances according to the sorting criterion of the intelligent recyclables collection device according to an embodiment of the present invention.
FIG. 11 is a diagram explaining classification of plastic containers by size according to a sorting criterion of the intelligent recyclables collection device according to an embodiment of the present invention.
12 is a flowchart of an operation of an intelligent recyclables collection device according to an embodiment of the present invention.
13 is a diagram for explaining a sorting criterion by a label among the sorting criteria of the intelligent recyclables collection device according to an embodiment of the present invention.
14 is a flowchart of an operation of an intelligent recyclables collection device according to an embodiment of the present invention.
15 is a view for explaining a selection criterion by a cover among the sorting criteria of the intelligent recyclables collection device according to an embodiment of the present invention.
16 is a flowchart of an operation of an intelligent recyclables collection device according to an embodiment of the present invention.
17 is a view for explaining a selection criterion based on a snout part among the sorting criteria of the intelligent recyclables collection device according to an embodiment of the present invention.
18 is a flowchart of an operation of an intelligent recyclables collection device according to an embodiment of the present invention.
19 is a view for explaining a shield of a loading box of an intelligent recyclables collection device according to an embodiment of the present invention.
20 is a flowchart of an operation of an intelligent recyclables collection device according to an embodiment of the present invention.
21 is a view explaining the loading amount of the loading box of the intelligent recyclables collection device according to an embodiment of the present invention.
22 is a diagram explaining the maximum loading capacity of the first loading box of the intelligent recycling collection device according to an embodiment of the present invention.
23 is a view for explaining the maximum loading capacity of the second loading box of the intelligent recycling collection device according to an embodiment of the present invention.
24 is a diagram explaining an input space of a sorting module of an intelligent recyclables collection device according to an embodiment of the present invention.
25 is a diagram illustrating foreign matter detection sensors disposed in a plurality of spaces of a sorting module of an intelligent recyclables collection device according to an embodiment of the present invention.
26 is a side view of the input space of the sorting module of the intelligent recyclables collection device according to an embodiment of the present invention.
27 is a flowchart of an operation of an intelligent recyclables collection device according to an embodiment of the present invention.
28 is a diagram for explaining the movement of the sorting module of the intelligent recyclables collection device according to an embodiment of the present invention.
29 is a view for explaining the rotation of the sorting module of the intelligent recyclables collection device according to an embodiment of the present invention.
30 is a diagram for explaining the movement and rotation of the sorting module of the intelligent recyclables collection device according to an embodiment of the present invention.
31 is a view for explaining a case in which at least two objects exist in each space of a sorting module of an intelligent recyclables collection device according to an embodiment of the present invention.
32 is a flowchart of an operation of an intelligent recyclables collection device according to an embodiment of the present invention.
33 is a flowchart of an operation of an intelligent recyclables collection device according to an embodiment of the present invention.
34 is a view for explaining the loading amount of the loading box of the intelligent recyclables collection device according to an embodiment of the present invention.
35 is a side view of the sorting module of the intelligent recyclables collection device according to an embodiment of the present invention.
36 is a top view of the sorting module of the intelligent recyclables collection device according to an embodiment of the present invention.
37 is a diagram illustrating an intelligent recycling collection system according to an embodiment of the present invention.
38 is a flowchart of an operation of a server of an intelligent recyclables collection system according to an embodiment of the present invention.
39 is a flowchart of an operation of a server of an intelligent recyclables collection system according to an embodiment of the present invention.
40 is a diagram for explaining the operation of the server of the intelligent recyclables collection system according to an embodiment of the present invention.
41 is a flowchart of an operation of a server of an intelligent recyclables collection system according to an embodiment of the present invention.
42 is a diagram for explaining the operation of the server of the intelligent recyclables collection system according to an embodiment of the present invention.
43 is a flowchart of an operation of a server of an intelligent recyclables collection system according to an embodiment of the present invention.
44 is a flowchart of an operation of a server of an intelligent recyclables collection system according to an embodiment of the present invention.
45 is a flowchart of an operation of an intelligent recyclables collection device according to an embodiment of the present invention.
46 is a flowchart of an operation of an intelligent recyclables collection device according to an embodiment of the present invention.
47 is a flowchart of an operation of an intelligent recyclables collection device according to an embodiment of the present invention.
48 is a diagram illustrating an intelligent recyclables collection system according to an embodiment of the present invention.

Hereinafter, a preferred embodiment of the present invention in which the object of the present invention can be realized in detail will be described with reference to the accompanying drawings. In describing the present embodiment, the same name and the same reference numeral are used for the same configuration, and additional description thereof will be omitted.

1A is a view showing the appearance of an intelligent recyclables collection device according to an embodiment of the present invention. Figure 1b is a view showing a front view of the upper exterior of the intelligent recyclables collection device according to an embodiment of the present invention. 2 is a diagram showing the internal structure of an intelligent recyclables collection device according to an embodiment of the present invention.

As shown in FIGS. 1A, 1B, and 2, the intelligent recycling collection device 100 according to an embodiment of the present invention includes a housing 110, a sorting module 210, a compression module 220, and a loading box ( 230) may be included.

The housing 110 may form the overall appearance of the intelligent recycling collection device 100 . Depending on the embodiment, the sorting module 210, the compression module 220, and the loading box 230 may be accommodated inside the housing 110, respectively.

Also, the housing 110 may include an input unit 111 through which a user inserts a plastic container into the housing 110 . Referring to FIG. 1A according to an embodiment, the housing 110 may be provided with a drive button 112 adjacent to the input unit 111 . When the user operates the drive button 112 after opening the input unit 111 and inserting the plastic container into the sorting module 210 therein, a container sorting process to be described later may be performed. A camera 190 may be provided in the housing 110 adjacent to the input unit 111 . The intelligent recyclables collection device 100 may obtain an image around the intelligent recyclables collection device 100 using the camera 190 . Referring to FIG. 1B according to another embodiment, the housing 110 may include a proximity sensor 114 and/or an identity authentication module 115 . For example, a user who wants to use the intelligent recycling collection device 100 without user authentication may bring the user's hand close to the proximity sensor 114, and the intelligent recycling collection device 100 may use the proximity sensor 114 When the proximity of the user's hand is sensed through this, the input unit 111 may be opened. For another example, a user who wants to authenticate a user for point accumulation runs an application and sends a barcode or QR code corresponding to the user's identity information to the identity authentication module 115 (eg, a barcode reader or QR code reader) ) can be positioned to be recognizable, and when the user's identity is authenticated through the identity authentication module 115, the intelligent recycling collection device 100 can open the input unit 111.

In addition, a display 120 may be provided on the front of the housing 110 to display various information to the user. In addition, a discharge cover 113 may be provided under the housing 110 . A loading box 230 may be provided inside the discharge cover 113 as described above.

In this embodiment, the loading box 230 includes a sorting container collection unit for collecting containers that meet the selection criteria and a non-sorting material collection unit for collecting unsorted containers or other foreign substances that do not meet the selection criteria can have a shape. The number and shape of the sorting container collection unit and the non-separation collection unit are not limited.

In the sorting module 210, an input space communicating with the input unit 111 and inserting a plastic container may be formed therein. The selection module 210 may play a role of determining and sorting containers put into the input space according to predetermined selection criteria.

In this embodiment, the screening module 210 may include an imaging module (eg, a camera). The imaging module may be provided to obtain image data by photographing the inside of the input space. The imaging module may enable artificial intelligence learning for the selection process through the acquired image data. The intelligent recyclables collection device 100 judges the container put into the input space according to the preset selection criteria, using an artificial intelligence model in which the sorting process has been learned based on the image data obtained using the imaging module. can be selected.

For example, in the case of the present embodiment, the sorting process performed in the input space includes the presence or absence of plastic containers, classification by size of plastic containers, color classification of plastic containers, presence or absence of labels on plastic containers, and shape of plastic container covers (e.g., lids). , It can be made according to the presence or absence of foreign substances inside the plastic container, and the selection process will be described later.

3 is a diagram illustrating an intelligent recyclables collection system according to an embodiment of the present invention.

Referring to FIG. 3 , the intelligent recycling collection system may include an intelligent recycling collection device 100 , a user device 200 and a server 300 .

Each step of the recyclables sorting process of the intelligent recyclables collection system may be performed in the intelligent recyclables collection device 100 . Alternatively, each step of the recycling sorting process of the intelligent recycling collection system may be performed in the server 300 connected to the intelligent recycling collection device 100 . Alternatively, at least a part of each step of the recycling sorting process of the intelligent recycling collection system is performed by the intelligent recycling collection device 100, and at least some of the other steps of each step of the recycling sorting process of the intelligent recycling collection system is an intelligent recycling collection device ( 100) and connected server 300.

The object recognition model used in the selection process can be implemented using the YOLO V5 structure. Since YOLO has a single neural network structure, the configuration is simple, the processing speed is fast, and the new waste entering the input space of the sorting module 210 can be processed with high accuracy even if it is not learned in the training stage. have The object recognition model used in the screening process is not limited to YOLO V5.

The intelligent recycling collection device 100 and the server 300 may transmit and receive data. The server 300 and the user device 200 may transmit and receive data.

For example, image data acquired by the intelligent recycling collection device 100 may be transmitted to the server 300 . The server 300 may select at least one object included in the image data based on the image data received from the intelligent recyclables collection device 100 . The server 300 may transmit data including a result of sorting at least one object included in the image data to the intelligent recycling collection device 100 . The intelligent recyclables collection device 100 may sort at least one object located in the input space of the sorting module 210 based on the data including the sorting result received from the server 300 .

Alternatively, for example, the intelligent recyclables collection device 100 may perform a sorting process for at least one object located in the input space of the sorting module 210 . The intelligent recyclables collection device 100 performs a sorting process for at least one object located in the input space of the sorting module 210 by its own judgment, and data on the sorting result (eg, whether it is a PET bottle to be collected, labels, size, and user data) may be transmitted to the server 300 . The server 300 may store data about the sorting result received from the intelligent recyclables collection device 100 .

For example, the server 300 may transmit data about the sorting result received from the intelligent recyclables collection device 100 to the user device 200 .

For example, the server 300 may transmit data about the selection result determined by the server 300 to the user device 200 .

4 is a block diagram of an intelligent recyclables collection device according to an embodiment of the present invention.

Referring to FIG. 4 , an intelligent recycling collection device 100 according to an embodiment of the present invention includes a data acquisition device 410 such as a camera 411, a sensor module 413, and a communication circuit 415, A memory 430 storing at least one application 431 and at least one artificial intelligence model 433, a processor 440, and a display 450 (eg, the display 120 of FIG. 1A). can do. The type of display 450 is not limited. Hereinafter, each component included in the intelligent recycling collection device 100 will be described.

First, the data acquisition device 410 according to an embodiment of the present invention will be described. The data acquisition device 410 may be interpreted as a logical concept for classifying devices for acquiring data from among devices included in the intelligent recyclables collection device 100 . In addition to the camera 411, the sensor module 413, and the communication circuit 415, the data acquisition device 410 includes various types of devices (eg, various sensors, touch devices) for acquiring various types of data described below. screen) may be further included.

According to an embodiment of the present invention, the data acquisition device 410 may acquire various types of data to be processed based on an artificial intelligence model 433 to be described later. In one embodiment, the data acquisition device 410 is driven according to the execution and/or operation of processes, programs, and/or applications installed (or stored) in the intelligent recycling collection device 100, and various types of data can be obtained. For example, when the camera application is executed and/or driven, the intelligent recycling collection device 100 drives the camera 411 (eg, performs an operation of controlling the lead-out of an image sensor) to obtain an image and/or data as data. image can be obtained. Hereinafter, examples of each data acquisition device 410 will be described.

According to an embodiment of the present invention, the camera 411 (eg, at least one front camera 411 and at least one top camera 411) may capture still images (or images) and moving images. According to one embodiment, at least one camera 411 may include one or more lenses, image sensors, image signal processors, or flashes. In one embodiment, the intelligent recycling collection device 100 may include cameras 411 each having a different property or function (or purpose). For example, the at least one camera 411 may include cameras 411 having different angles of view. The angle of view is, for example, a super wide angle of 114 ° to 94 °, a wide angle, a normal lens of 84 ° to 63 °, a telephoto of 28 ° to 8 °, and It may include super telephoto from 6° to 3°. Also, for example, at least one camera 411 is disposed on the front side as described above and at least one front camera 411 for capturing images and/or videos and disposed on the upper side for capturing images and/or videos. At least one upper surface camera 411 may be included. The arrangement of the camera 411 will be described later.

According to an embodiment of the present invention, the sensor module 413 may obtain various types of data to be processed based on an artificial intelligence model 433 to be described later. The number and type of sensors included in the sensor module 413 are not limited. For example, the sensor module 413 may include a capacitive sensor, an entry detection sensor, a weight detection sensor, a metal detection sensor, an IR-UWB radar, a near infrared ray sensor, a transparency detection sensor, a photo sensor, or an infrared sensor. there is. The sensor module 413 may include a capacitive sensor, an entry detection sensor, a weight detection sensor, a metal detection sensor, a transparency detection sensor, a photo sensor, or an infrared sensor, respectively. Alternatively, the sensor module 413 may be implemented as a module that performs at least one operation of a capacitive sensor, an entry detection sensor, a weight detection sensor, a metal detection sensor, a transparency detection sensor, a photosensor, or an infrared sensor. may be The intelligent recyclables collection device 100 may use a capacitive sensor included in the sensor module 413 to check foreign matter inside at least one object inserted into the input space of the sorting module 210 . The intelligent recyclables collection device 100 may check whether an object enters the input space of the sorting module 210 by using an entry detection sensor included in the sensor module 413 . The intelligent recyclables collection device 100 may check the weight of at least one object inserted into the input space of the sorting module 210 using a weight sensor included in the sensor module 413 . The intelligent recyclables collection device 100 may check whether at least one object inserted into the input space of the sorting module 210 is metal by using a metal detection sensor included in the sensor module 413 . The intelligent recyclables collection device 100 may check the transparency of at least one object inserted into the input space of the sorting module 210 by using a transparency sensor included in the sensor module 413 . The intelligent recyclables collection device 100 may check the material of at least one object inserted into the input space of the sorting module 210 by using an IR-UWB radar or a near-infrared ray sensor included in the sensor module 413. The intelligent recycling collection device 100 may check the movement of at least one object (eg, the user's hand) inside the input space of the sorting module 210 by using a photo sensor included in the sensor module 413. there is. The intelligent recycling collection device 100 may use an infrared sensor included in the sensor module 413 to check the loading amount of objects inside the loading box 230 . The arrangement and types of sensors included in the sensor module 413 will be described later.

According to an embodiment of the present invention, the communication circuit 415 forms a communication connection with an external electronic device (eg, another electronic device or the server 300) through various types of communication methods, and transmits and/or receives data. can do. As described above, the communication method is a communication method for establishing a direct communication connection such as Bluetooth and Wi-Fi direct, a communication method using an access point (AP) (eg, Wi-Fi communication), or a base station (base station). ) may include a communication method using cellular communication (eg, 3G, 4G/LTE, 5G), and the type of communication method supported by the communication circuit 415 is not limited.

According to an embodiment of the present invention, the processor 440 may be implemented as a Programmable Logic Controller (PLC), but the implementation method of the processor 440 is not limited. The processor 440 may control other components included in the intelligent recycling collection device 100 .

Hereinafter, at least one artificial intelligence model 433 according to an embodiment of the present invention will be described.

5 is a diagram for explaining an example of an artificial intelligence model of an intelligent recyclables collection device according to an embodiment of the present invention.

According to an embodiment of the present invention, each of the at least one artificial intelligence model 433 is a model that has been previously learned based on a designated type of learning algorithm, and outputs (or obtains) result data by receiving and calculating various types of data. ) may be pre-implemented artificial intelligence models. For example, in the intelligent recycling collection device 100, learning is performed to output a specific type of result data as output data by using designated types of data as input data based on a machine learning algorithm or deep learning algorithm, and at least one artificial The intelligence model 433 (eg, a machine learning model and a deep learning model) is generated and stored in the intelligent recycling collection device 100, or an artificial intelligence model trained from an external server (eg, the server 300) ( 433) may be delivered to and stored in the intelligent recycling collection device 100. In one embodiment, when an artificial intelligence model is received (or downloaded) from an external server (eg, server 300) to the intelligent recycling collection device 100, the external server (eg, server 300) creates an application. It may be a third party server or a management server in which third parties register applications, and an external server (e.g., server 300) with an artificial intelligence model corresponding to a function to be provided through the application together with the application. ) may be registered. Accordingly, an artificial intelligence model corresponding to an application from an external server (eg, the server 300) may be transmitted to the intelligent recyclables collection device 100, but is not limited thereto. The machine learning algorithms include supervised algorithms such as linear regression and logistic regression, clustering, visualization and dimensionality reduction, and association rule learning ( It includes unsupervised algorithms such as association rule learning, and reinforcement algorithms, wherein the deep learning algorithms include artificial neural networks (ANNs), deep neural networks (DNNs), and convolution neural networks (CNNs). Network), and may further include various learning algorithms without being limited thereto. The trained artificial intelligence model 433 includes at least one matrix (eg, a convolution layer, a pooling layer) for calculating input data, and performs an operation on the input data based on the matrices to obtain result data. It can be implemented to output. For example, as shown in FIG. 5, image data and information about objects included in the image data are used as training data based on CNN (e.g., image data as input data, objects (or subjects) set information on as output data) an artificial intelligence model 433 (eg, a CNN model) may be generated, and the generated artificial intelligence model 433 is a convolution layer (convolution layer) in response to receiving the data 301 as an input. information about objects (eg : instance segmentation image data) may be implemented to output the output data 303 including it. Meanwhile, although not shown in FIG. 3, the deep learning model learned based on the CNN may include more layers in addition to the convolutional layer and the pooling layer shown, and since it is a well-known technique, a detailed description thereof will be omitted. As another example, it is not limited to that shown in FIG. 5, and audio data and information about speakers are used as training data based on another learning algorithm (eg, audio data as input data and information about speakers as output data). settings) other artificial intelligence models (e.g. machine learning models, or deep learning models) can be created.

According to an embodiment of the present invention, each of the at least one artificial intelligence model 433 includes values (hereinafter, arithmetic values) associated with a designated arithmetic capability (e.g., weight calculation value (e.g., weight precision) is 32 bits, active function calculation). It can be implemented to include weights of a matrix corresponding to a value (eg, activation function precision) of 32 bits, and activation functions. In addition, for example, the calculation value is a value for the ability to calculate parameters such as weights or an activation function (eg, sigmoid, relu), weight It can include the operation value for (eg weight precision) and the operation value for the activation function (eg activation precision).

Meanwhile, although the intelligent recycling collection device 100 has been described and/or illustrated as using at least one artificial intelligence model 433 pre-stored in the intelligent recycling collection device 100, it is not limited thereto and according to an embodiment of the present invention The intelligent recyclables collection device 100 may receive a corresponding artificial intelligence model 433 from an external server (eg, the server 300) based on the operation of the application. Alternatively, according to an embodiment of the present invention, the intelligent recycling collection device 100 processes information about data and data instead of performing an operation of processing data using an artificial intelligence model in the intelligent recycling collection device 100. Artificial intelligence pre-stored in an external server (eg, server 300) by transmitting information (eg, information for distinguishing an object (or subject) and selected calculation values) to an external server (eg, server 300). Result data processed by the model may be received from an external server (eg, server 300).

6 is a flowchart of an operation of an intelligent recyclables collection device according to an embodiment of the present invention. 6 can be described with reference to FIGS. 7 and 8 . 7 is a view for explaining a first-class sorting container according to a sorting criterion of an intelligent recyclables collection apparatus according to an embodiment of the present invention. 8 is a view for explaining a second-class sorting container according to a sorting criterion of an intelligent recyclables collection device according to an embodiment of the present invention.

The loading box 230 of the intelligent recycling collection device 100 may include a first loading box for loading the first type sorting container. The first-class sorting container may be a first-class container selected according to the sorting criteria of the intelligent recyclables collection device. For example, the first-class sorting container may include a transparent PET bottle for beverages. Referring to FIG. 7, the transparent PET bottle for beverages includes (a) a transparent PET bottle for bottled water, (b) a transparent PET bottle for beverages, (c) a transparent PET bottle for milk, and (d) a transparent PET bottle for makgeolli. The type 1 sorting container of FIG. 7 is exemplary, and the type of transparent PET bottle for beverage is not limited.

The loading box 230 of the intelligent recycling collection device 100 may include a second loading box for loading the second sorting container. The type 2 sorting container may be a type 2 container selected according to the sorting criteria of the intelligent recyclables collection device. For example, the second-class sorting container may include a non-beverage transparent PET bottle, an opaque PET bottle, or general plastic. Referring to FIG. 8, the second sorting container is (a) an opaque PET bottle, (b) a disposable cup, (c) a food packaging container, (d) a transparent PET bottle for condiments, (e) an edible oil bottle, and (f) a yogurt bottle. can include (b) disposable cups, (c) food packaging containers, or (f) yogurt jars can be classified as ordinary plastics. The type of general plastic is not limited thereto. (d) Transparent PET bottles for condiments, or (e) edible oil bottles can be classified as non-beverage transparent PET bottles. Although the non-beverage transparent PET bottle is a transparent PET bottle, it may be included in the second type selection container differently from the first type selection container.

The loading box 230 of the intelligent recycling collection device 100 may include a third loading box for loading third-class sorting containers. The third-class sorting container may be a third-class container selected according to the sorting criteria of the intelligent recyclables collection device. For example, the third-class sorting container may be a recycling target container other than the first-class sorting container or the second-type sorting container. For example, the third-class sorting container may include a can or a glass bottle, and is not a plastic item to be recycled, and is not limited thereto.

The non-sorting body may be a container or other foreign matter that is not sorted because it does not meet the sorting criteria of the intelligent recycling collection device. For example, even if a type 1 sorting container, a type 2 sorting container, or a type 3 sorting container contains foreign substances (eg water, beverage, seasoning, food, etc.), it can be classified as a non-sorting container. there is.

Referring to FIG. 6 , in operation 601, according to an embodiment of the present invention, the intelligent recyclables collection device 100 (eg, the processor 440), at least one object located in the input space of the sorting module 210 objects can be identified. For example, the intelligent recycling collection device 100 may acquire an image of at least one object located in the sorting module 210 using at least one camera (eg, 411). For an embodiment in which the intelligent recycling collection device 100 identifies at least one object located in the sorting module 210 using at least one camera (eg, 411), the drawings described later (eg, FIGS. 24 to 24) 36) to explain.

In operation 603, according to an embodiment of the present invention, the intelligent recycling collection device 100 (eg, the processor 440) may determine the object type of at least one object located in the sorting module 210. there is. For example, the intelligent recycling collection device 100 applies the image obtained in operation 601 to an artificial intelligence model for determining the type of a specific object, and determines the type of object corresponding to the at least one object in the image. can judge The artificial intelligence model may be an artificial intelligence model learned based on data about the shape, color, and size of a plurality of objects. For example, in operation 605, operation 607, operation 609, and/or operation 611, the intelligent recycling collection device 100 may determine the object type of at least one object located in the sorting module 210. .

According to an embodiment, the artificial intelligence model includes, as a plurality of objects, a first artificial intelligence model that is learned based on data about the shape, color, and size of a plurality of container objects, or the The plurality of objects may include a plurality of PET bottle objects, a plurality of can objects, and a second artificial intelligence model learned based on data about shapes, colors, and sizes of the plurality of glass bottle objects.

According to an embodiment, the artificial intelligence model is a first artificial intelligence model for distinguishing a transparent PET bottle for beverage, a transparent PET bottle for non-beverage, and an opaque PET bottle, and objects other than the PET bottle and the PET bottle (eg, can, glass) disease, etc.) may include a second artificial intelligence model for classifying. The artificial intelligence model may use a plurality of learning algorithms among a plurality of algorithms for determining the type of object. For example, an ensemble method may be used in an artificial intelligence model, and better prediction performance may be obtained compared to the case of separately using learning algorithms. According to an embodiment, the intelligent recyclables collection device 100 obtains result values (output data) using an artificial intelligence model to which arbitrary weights are assigned, and uses the obtained result values (output data) as labeling data of the learning data. The learning of the artificial intelligence model may be performed by comparing with , performing backpropagation according to the error, and optimizing the weights. According to an embodiment, as a result of applying the image to the artificial intelligence model, the intelligent recycling collection device 100 may derive a probability for each type of object in the image, and select a specific type having the highest probability as the type of the object. can be determined by

In operation 605, according to an embodiment of the present invention, the intelligent recycling collection device 100 (eg, the processor 440) may determine whether at least one object located in the sorting module 210 is plastic. there is. For example, the intelligent recycling collection device 100 determines the material of at least one object located in the sorting module 210 by using an IR-UWB radar, a near-infrared ray sensor, or a capacitive sensor included in the sensor module 413. can be identified. For example, the intelligent recycling collection device 100 may control the movement of the sorting module 210 to deliver at least one object to a loading box corresponding to the material of the at least one object. For example, the intelligent recycling collection device 100 may determine whether at least one object located in the sorting module 210 is a plastic, a can, or a glass bottle.

In operation 607, according to an embodiment of the present invention, the intelligent recycling collection device 100 (eg, the processor 440) determines that at least one object located in the sorting module 210 is made of plastic (eg, the first type It is possible to determine whether at least one object located in the sorting module 210 is PET (PolyEthylene Terephtalate) based on whether it is a sorting container or a second-class sorting container). For example, the intelligent recycling collection device 100 uses an IR-UWB radar, a near-infrared ray sensor, or a capacitive sensor included in the sensor module 413 to detect at least one object located in the sorting module 210 as a PET bottle. It can be judged whether or not Based on the fact that the material of the at least one object located in the sorting module 210 is not PET, the intelligent recycling collection device 100 sets the object type of at least one object located in the sorting module 210 to the second type. This can be determined by sorting containers (eg plain plastic). In operation 615, the intelligent recycling collection device 100 loads the at least one object located in the sorting module 210 based on the fact that the at least one object is a type 2 sorting container (eg, general plastic) (230 ), the movement of the sorting module 210 may be controlled to be transferred to the second loading box corresponding to the second type sorting container.

In operation 609, according to an embodiment of the present invention, the intelligent recycling collection device 100 (eg, the processor 440) sorts, based on the fact that at least one object located in the sorting module 210 is a PET bottle. Transparency of at least one object located in the module 210 may be determined. For example, the intelligent recyclables collection device 100 may check the transparency of at least one object put into the input space of the sorting module 210 by using a transparency sensor included in the sensor module 413. The intelligent recycling collection device 100 may determine whether the at least one object is a transparent PET bottle or an opaque PET bottle based on the transparency of the at least one object. The intelligent recyclables collection device 100 determines the object type of at least one object located in the sorting module 210 based on the fact that the object type of the at least one object located in the sorting module 210 is an opaque PET bottle. It can be judged by two types of sorting containers (eg, opaque PET bottles). In operation 615, the intelligent recycling collection device 100 loads (230 ), the movement of the sorting module 210 may be controlled to be transferred to the second loading box corresponding to the second type sorting container.

In operation 611, according to an embodiment of the present invention, the intelligent recycling collection device 100 (eg, the processor 440), based on the fact that at least one object located in the sorting module 210 is a transparent PET bottle, It is possible to determine whether at least one object located in the sorting module 210 is a transparent PET bottle for beverage or a transparent PET bottle for non-beverage. For example, in the intelligent recycling collection device 100, the shape of at least one object in the image acquired in operation 601 corresponds to a predetermined first shape (eg, at least one shape corresponding to a first-class sorting container). In this case, the object type of the at least one object may be determined as a first-class sorting container (eg, a transparent PET bottle for beverage). For example, in the intelligent recycling collection device 100, the shape of at least one object in the image obtained in operation 601 corresponds to a predetermined second shape (eg, at least one shape corresponding to a type 2 sorting container). In this case, the object type of the at least one object may be determined as a type 2 sorting container (eg, a non-beverage transparent PET bottle). For an embodiment in which the intelligent recyclables collection device 100 determines whether at least one object located in the sorting module 210 is a transparent PET bottle for beverage or a transparent PET bottle for non-beverage, the drawings described later (eg, FIGS. 12 to 12) 18) to be further described. The intelligent recyclables collection device 100 determines the number of objects of at least one object located in the sorting module 210 based on the fact that the object type of the at least one object located in the sorting module 210 is a non-beverage transparent PET bottle. The type can be determined as a type 2 sorting container (eg, non-beverage transparent PET bottle). In operation 615, the intelligent recyclables collection device 100 selects at least one object located in the sorting module 210 based on the fact that the at least one object is a second-class sorting container (eg, a non-beverage transparent PET bottle). It is possible to control the movement of the sorting module 210 so that the second sorting container corresponding to the second sorting container among the loading boxes 230 is transferred.

In operation 613, according to an embodiment of the present invention, the intelligent recycling collection device 100 (eg, the processor 440) determines that at least one object located in the sorting module 210 is a first-class sorting container (eg, the processor 440). : Movement of the sorting module 210 to transfer the at least one object to the compression module 220 connected to the first loading box corresponding to the first sorting container among the loading bins 230, based on the transparent PET bottle for beverage) can control.

As described above, in operation 615, according to an embodiment of the present invention, the intelligent recycling collection device 100 (eg, the processor 440) determines that at least one object located in the sorting module 210 is a second object. Based on the type of sorting container (eg, non-beverage transparent PET bottle, opaque PET bottle, or general plastic), the at least one object is selected to be delivered to the second loading box corresponding to the second type sorting container among the loading bins 230. The movement of the module 210 may be controlled.

In operation 617, according to an embodiment of the present invention, the intelligent recycling collection device 100 (eg, the processor 440) determines that at least one object located in the sorting module 210 is made of plastic (eg, the first type Based on whether or not the sorting container or the second-class sorting container), it may be determined whether or not at least one object located in the sorting module 210 is an article that needs to be loaded (eg, a can, a glass bottle, etc.).

In operation 619, according to an embodiment of the present invention, the intelligent recycling collection device 100 (eg, the processor 440) determines that at least one object located in the sorting module 210 is an item that needs to be loaded (eg, a can). , glass bottle, etc.), of the sorting module 210 to deliver the at least one object to a third loading bin corresponding to a third sorting container (eg, can, glass bottle, etc.) among the loading bins 230. You can control movement.

In operation 621, according to an embodiment of the present invention, the intelligent recycling collection device 100 (eg, the processor 440) may output a collection message for at least one object. The intelligent recycling collection device 100 may output a collection message for at least one object through the display 450 . The intelligent recyclables collection device 100 outputs a message about the collection of at least one object located in the sorting module 210 through the display 450 and inserts the input unit 111 of the intelligent recyclables collection device 100. can generate a signal to open. For example, the intelligent recyclables collection device 100 (eg, the processor 440), based on the fact that at least one object located in the sorting module 210 is not an item requiring loading, determines the at least one object. A recall message can be output. For example, based on the fact that at least one object located in the sorting module 210 is not a recyclable product, the intelligent recycling collection device 100 (eg, the processor 440) sends a collection message for the at least one object. can output Alternatively, for example, the intelligent recycling collection device 100 (eg, the processor 440) may send a collection message for at least one object according to an embodiment (eg, the embodiment of FIGS. 9 and 10 ) to be described later. can output

9 is a flowchart of an operation of an intelligent recyclables collection device according to an embodiment of the present invention. 9 may be described with reference to FIG. 10 . 10 is a diagram for explaining the detection of foreign substances according to the sorting criterion of the intelligent recyclables collection device according to an embodiment of the present invention.

Referring to FIG. 10 , the intelligent recyclables collection device 100 may perform different operations depending on whether foreign substances are included in at least one object located in the sorting module 210 . For example, the intelligent recyclables collection device 100 does not contain foreign substances inside the container (eg, a first-class sorting container, a second-class sorting container, or a third-class sorting container) in FIG. 10 (a). In the case of not including the foreign matter inside the container (eg, the first type selection container, the second type selection container, or the third type selection container) in FIG. 10 (a), different operations may be performed. can For example, the intelligent recycling collection device 100 determines the object type of the container through the determination of a part of the container (eg, part a-1) in (a) of FIG. 10, and foreign matter inside the container can be considered not included. The intelligent recycling collection device 100 determines the object type of the container through the determination of a portion of the container (eg, b-1 portion) in FIG. 2), it can be determined that foreign matter is included in the container. For example, the intelligent recyclables collection device 100 may use a capacitive sensor included in the sensor module 413 to determine whether a foreign substance is included in the container, which will be described later.

Referring to FIG. 9 , an operation of outputting a retrieval message for at least one object may be understood. The operations of FIG. 9 may be organically performed with the operations of FIG. 6 . For example, at least some of the operations of FIG. 9 may be performed before, during, or after the operation of FIG. 6 is performed. Alternatively, at least some of the operations of FIG. 9 may not be performed.

Referring to FIG. 9 , in operation 901, according to an embodiment of the present invention, the intelligent recyclables collection device 100 (eg, the processor 440), at least one object located in the input space of the sorting module 210 objects can be identified. Operation 901 may be operation 601.

In operation 903, according to an embodiment of the present invention, the intelligent recycling collection device 100 (eg, the processor 440) determines that at least one object located in the sorting module 210 changes the intelligent recycling collection device 100. ) It is possible to determine whether it is a user's personal item. In operation 909, according to an embodiment of the present invention, the intelligent recycling collection device 100 (eg, the processor 440) determines that at least one object located in the sorting module 210 changes the intelligent recycling collection device 100. ), a retrieval message for the at least one object may be output based on the personal item of the user. The intelligent recycling collection device 100 (eg, the processor 440), based on the fact that at least one object located in the sorting module 210 is a personal item of the user of the intelligent recycling collection device 100, the at least one object located in the sorting module 210 A signal for opening the input unit of the intelligent recyclables collection device 100 may be generated while outputting a message regarding the collection of one object.

In operation 905, according to an embodiment of the present invention, the intelligent recycling collection device 100 (eg, the processor 440) checks whether foreign matter is included in at least one object located in the sorting module 210. can determine whether The intelligent recyclables collection device 100 may detect foreign matter from at least one object inserted into the input space of the sorting module 210 by using the camera 411 or the capacitive sensor included in the sensor module 413. there is. For example, the intelligent recyclables collection device 100 uses a camera 411 or a capacitive sensor included in the sensor module 413 to insert at least one object into the input space of the sorting module 210. Foreign matter can be identified. In operation 909, according to an embodiment of the present invention, the intelligent recycling collection device 100 (eg, the processor 440) detects a foreign substance from at least one object located in the sorting module 210 based on , a recall message for the at least one object may be output. For example, the intelligent recycling collection device 100 (eg, the processor 440), based on detecting a foreign material from at least one object located in the sorting module 210, collects the at least one object. A signal for opening the inlet of the intelligent recyclables collection device 100 may be generated while outputting a related message.

In operation 907, according to an embodiment of the present invention, the intelligent recycling collection device 100 (eg, the processor 440) determines whether a plurality of objects are located in the sorting module 210 and the plurality of objects are of different types. can check whether For example, the intelligent recyclables collection device 100 may determine whether a plurality of objects in the sorting module 210 are of different types based on the operations shown in FIG. 6 . For example, in the intelligent recycling collection device 100, the type of the first object among at least one object located in the sorting module 210 is a first-class sorting container (eg, a transparent PET bottle for beverage), and the at least one It can be confirmed that the type of object of the second object among one object is a type 2 sorting container (eg, a non-beverage transparent PET bottle, an opaque PET bottle, or a general plastic). For example, in the intelligent recycling collection device 100, the type of the first object among at least one object located in the sorting module 210 is a first-class sorting container (eg, a transparent PET bottle for beverage), and the at least one It can be confirmed that the object type of the third object among one object is a third-class sorting container (eg, can, glass bottle, etc.). For example, the intelligent recycling collection device 100 determines that the type of object of the second object among at least one object located in the sorting module 210 is a second-class sorting container (eg, a non-beverage transparent PET bottle, an opaque PET bottle, Or general plastic), and it can be confirmed that the type of the object of the third object among the at least one object is a third-class sorting container (eg, can, glass bottle, etc.). For example, the intelligent recycling collection device 100 determines that the type of one object among at least one object located in the sorting module 210 is a sorting container (eg, a first-class sorting container, a second-class sorting container, or a second sorting container). 3 sorting containers), and it can be confirmed that the type of another one of the at least one object is a non-sorting body or a personal item. In operation 909, according to an embodiment of the present invention, the intelligent recycling collection device 100 (eg, the processor 440) determines that the plurality of objects in the sorting module 210 are of different types, It is possible to output a retrieval message for the dog object. The intelligent recyclables collection device 100 (eg, the processor 440) collects intelligent recyclables while outputting a message about the collection of the plurality of objects based on the fact that the plurality of objects in the sorting module 210 are of different types. A signal for opening the inlet of the device 100 may be generated.

As described above, in operation 909, according to an embodiment of the present invention, the intelligent recycling collection device 100 (eg, the processor 440) is configured to collect at least one object located in the sorting module 210. While outputting a related message, the input unit of the intelligent recyclables collection device 100 may be opened.

FIG. 11 is a diagram explaining classification of plastic containers by size according to a sorting criterion of the intelligent recyclables collection device according to an embodiment of the present invention.

Referring to FIG. 11 , the intelligent recyclables collection device 100 (eg, the processor 440) according to an embodiment of the present invention may check the size of at least one object located in the sorting module 210. For example, the intelligent recycling collection device 100 may check the size of at least one object located in the sorting module 210 using the camera 411 or the sensor module 413 . The intelligent recyclables collection device 100 may transmit data about the size of at least one object located in the sorting module 210 to the server 300 .

12 is a flowchart of an operation of an intelligent recyclables collection device according to an embodiment of the present invention. 12 may be described with reference to FIG. 13 . 13 is a diagram for explaining a sorting criterion by a label among the sorting criteria of the intelligent recyclables collection device according to an embodiment of the present invention.

12 and 13, whether at least one object located in the sorting module 210 of the intelligent recyclables collection device 100 is a first-class sorting container (eg, a transparent PET bottle for beverage) according to the label, or a second sorting container for beverages. It is possible to understand an embodiment of determining whether a species sorting container (eg, a non-beverage transparent PET bottle).

Referring to FIG. 13, at least one object located in the sorting module 210 of the intelligent recycling collection device 100 may be in a state without a label at all as in (a), or at least one of the labels as in (b). The text of the label may be unrecognizable due to partial removal, or may be in a state where the label is attached and the text of the label is recognizable as in (c), (d), and (e).

The operations of FIG. 12 may be organically performed with the operations of FIG. 6 and/or the operations of FIG. 9 . For example, at least some of the operations of FIG. 12 may be performed before, during, or after the operation of FIG. 6 and/or the operation of FIG. 9 is performed. Alternatively, at least some of the operations of FIG. 12 may not be performed.

Referring to FIG. 12 , in operation 1201, according to an embodiment of the present invention, the intelligent recyclables collection device 100 (eg, the processor 440), at least one object located in the input space of the sorting module 210 The text of the label of the object can be recognized. For example, referring to FIG. 13, the intelligent recycling collection device 100 recognizes the text of the label of at least one object located in the input space of the sorting module 210, so that there is no label as shown in (a). The text in the label is unrecognizable, or it is confirmed that the text in the label is unrecognizable because part of the label has been removed, as in (b), or the text in the label is unrecognizable as in (c), (d), or (e) When text (eg, “cola”, “cider”, or “soy sauce”) can be recognized, text corresponding to the label of at least one object located in the input space of the sorting module 210 can be recognized. .

In operation 1203, according to an embodiment of the present invention, the intelligent recycling collection device 100 (eg, the processor 440) converts the text recognized in 1201 to a predetermined first text (eg, a first-class sorting container). corresponding text). The predetermined first text is text corresponding to a first-class sorting container (eg, a transparent PET bottle for beverage), and may be a plurality of predetermined texts. For example, in FIG. 13 , “cola” in (c) or “cider” in (d) may be a first predetermined text (eg, text corresponding to a first-class sorting container).

In operation 1205, according to an embodiment of the present invention, the intelligent recycling collection device 100 (eg, the processor 440) converts the text recognized in 1201 to a predetermined first text (eg, in a first-class sorting container). corresponding text), the object type of at least one object located in the input space of the sorting module 210 may be determined as a first-class sorting container (eg, a transparent PET bottle for beverage). For example, in the intelligent recycling collection device 100, the text of the label of at least one object located in the input space of the sorting module 210 is a predetermined first text (eg, text corresponding to a first-class sorting container). ), operation 613 of FIG. 6 may be performed. According to one embodiment, the intelligent recyclables collection device 100 determines the object of at least one object according to (1) a decision result of an artificial intelligence model for determining the type of object and (2) a judgment result of recognizing text in a label. When all of the types are determined as the first type sorting container, the type of the object may be finally determined as the first type sorting container.

In operation 1207, according to an embodiment of the present invention, the intelligent recycling collection device 100 (eg, the processor 440) converts the text recognized in 1201 to a predetermined second text (eg, a second type sorting container). corresponding text). The predetermined second text is text corresponding to a second type sorting container (eg, a non-beverage transparent PET bottle, an opaque PET bottle, or a general plastic), and may be a plurality of predetermined texts. For example, in FIG. 13 , "soy sauce" in (e) may be a predetermined second text (eg, text corresponding to a second type sorting container).

In operation 1209, according to an embodiment of the present invention, the intelligent recycling collection device 100 (eg, the processor 440) converts the text recognized in 1201 to a predetermined second text (eg, the second type sorting container). corresponding text), the type of the object of at least one object located in the input space of the sorting module 210 is a type 2 sorting container (eg, non-beverage transparent PET bottle, opaque PET bottle, or general plastic) can be determined by For example, in the intelligent recycling collection device 100, the text of the label of at least one object located in the input space of the sorting module 210 is a predetermined second text (eg, text corresponding to a second-class sorting container). ), operation 615 of FIG. 6 may be performed. According to an embodiment, the intelligent recyclables collection device 100 (1) determines the type of object as a first-class sorting container according to the result of the artificial intelligence model for determining the type of object, and (2) labels When the object type of the at least one object is determined as the second type sorting container according to the determination result of my text recognition, the object type may be finally determined as the second type sorting container.

In operation 1211, according to an embodiment of the present invention, the intelligent recycling collection device 100 (eg, the processor 440) determines the degree of label attachment of at least one object located in the input space of the sorting module 210. can be checked. For example, referring to FIG. 13, the intelligent recyclables collection device 100 determines the degree of label attachment of at least one object located in the input space of the sorting module 210, in a state where there is no label as shown in (a). It can be checked whether at least a part of the label is removed as in (b), or whether all of the label is attached as in (c), (d), and (e).

In operation 1213, according to an embodiment of the present invention, the intelligent recycling collection device 100 (eg, the processor 440) determines the degree of label attachment of at least one object located in the input space of the sorting module 210. Based on, a grade of the at least one object may be determined. For example, referring to FIG. 13, the intelligent recyclables collection device 100 determines the degree of label attachment of at least one object located in the input space of the sorting module 210, in a state where there is no label as shown in (a). Based on that, the rating of the at least one object may be determined as 1st grade (eg, high grade), and the rating of the at least one object may be determined based on the state in which at least a part of the label is removed as shown in (b). It can be determined as a 2-class (eg, intermediate class), and the class of the at least one object can be determined as a 3-class (eg, lower grade).

In operation 1215, according to an embodiment of the present invention, the intelligent recycling collection device 100 (eg, the processor 440) identifies the user of the intelligent recycling collection device 100 and, through a communication circuit, operates 1213 Data on the grade determined in and data on the user may be transmitted to the server 300 . Data transmitted to the server 300 (eg, data on the determined grade and data on the user) may be used to determine points to be provided to the user. For example, the first user provides a transparent PET bottle for beverage, the transparent PET bottle for beverage provided by the first user is determined to be a first grade with the label removed, and the second user provides the same transparent PET bottle for beverage. When the transparent PET bottle for beverage provided by the second user is determined to be grade 3 with all of the labels attached, the points provided to the first user may be higher than the points to be provided to the second user. The points provided to the user will be described later.

14 is a flowchart of an operation of an intelligent recyclables collection device according to an embodiment of the present invention. 14 can be described with reference to FIG. 15 . 15 is a view for explaining a selection criterion by a cover among the sorting criteria of the intelligent recyclables collection device according to an embodiment of the present invention.

14 and 15, according to the cover, whether at least one object located in the sorting module 210 of the intelligent recyclables collection device 100 is a first-class sorting container (eg, a transparent PET bottle for beverage), or a second sorting container. It is possible to understand an embodiment of determining whether a species sorting container (eg, a non-beverage transparent PET bottle).

The operations of FIG. 14 may be organically performed with the operations of FIG. 6 , the operations of FIG. 9 , and/or the operations of FIG. 12 . For example, at least some of the operations of FIG. 14 may be performed before, during, or after the operations of FIG. 6, 9, and/or 12 are performed. Alternatively, at least some of the operations of FIG. 14 may not be performed.

Referring to FIG. 14 , in operation 1401, according to an embodiment of the present invention, the intelligent recyclables collection device 100 (eg, the processor 440), at least one object located in the input space of the sorting module 210 The shape of the cover of an object can be recognized. For example, referring to FIG. 15, the intelligent recycling collection device 100 recognizes the shape of the cover of at least one object located in the input space of the sorting module 210, so that the at least one object is (a) ), it can be determined that it is a first-class selection container, or a second-class selection container like (b) or (c). In FIG. 15, (a) is a state in which the object is a first-class sorting container (eg, a PET bottle for beverage) without a label, and (b) is a second-class sorting container (eg, an opaque PET bottle) when the object is labeled. state, and (c) may be a state in which the object is a second-class sorting container (eg, an opaque PET bottle) and has no label.

In operation 1403, according to an embodiment of the present invention, the intelligent recycling collection device 100 (eg, the processor 440) changes the shape of the cover of at least one object located in the input space of the sorting module 210. It may be determined whether the first cover corresponds to a predetermined first cover (eg, a cover corresponding to a first type sorting container).

In operation 1405, according to an embodiment of the present invention, the intelligent recycling collection device 100 (eg, the processor 440) changes the shape of the cover of at least one object located in the input space of the sorting module 210. The object type of the at least one object is to be determined as a first-class sorting container (eg, a transparent PET bottle for beverage) based on the correspondence to a predetermined first cover (eg, a cover corresponding to a first-class sorting container). can For example, according to the shape of the cover, the intelligent recycling collection device 100 determines the type of object of at least one object located in the input space of the sorting module 210 as a first-class sorting container (eg, transparent for beverages). PET bottle), operation 613 of FIG. 6 may be performed. According to an embodiment, the intelligent recyclables collection device 100 determines the type of the object according to (1) a result of the artificial intelligence model for determining the type of object and (2) a result of determining the shape of the cover of the object. When all of the first-class sorting containers are determined, the type of the object may be finally determined as the first-type sorting container.

In operation 1407, according to an embodiment of the present invention, the intelligent recycling collection device 100 (eg, the processor 440) changes the shape of the cover of at least one object located in the input space of the sorting module 210. It may be determined whether or not it corresponds to a predetermined second cover (eg, a cover corresponding to a type 2 sorting container).

In operation 1409, according to an embodiment of the present invention, the intelligent recycling collection device 100 (eg, the processor 440) changes the shape of the cover of at least one object located in the input space of the sorting module 210. Based on the corresponding to the predetermined second cover (eg, a cover corresponding to the second sorting container), the type of the object of the at least one object is set as a second kind sorting container (eg, non-beverage transparent PET bottle, opaque PET bottle, or general plastic). For example, according to the shape of the cover, the intelligent recyclables collection device 100 selects the object type of at least one object located in the input space of the sorting module 210, among the second-class sorting containers, for non-beverage use. You can also decide on a transparent PET bottle, an opaque PET bottle, or general plastic. For example, according to the shape of the cover, the intelligent recycling collection device 100 selects the object type of at least one object located in the input space of the sorting module 210 into a second sorting container (eg, transparent for beverages). PET bottle), operation 615 of FIG. 6 may be performed.

For example, in (b) of FIG. 15, the intelligent recyclables collection device 100 classifies the object type of at least one object located in the input space of the sorting module 210 into the second type according to the shape of the cover. It can be determined as an opaque PET bottle among a selection container or a second-class selection container. For example, since the object in (b) of FIG. 15 is also labeled, the intelligent recycling collection device 100 determines the object type of the object in (b) of FIG. 15 through the embodiment of FIG. 12 according to the label. According to the cover, the type of the object of FIG. 15(b) may be determined through the embodiment of FIG. 14 .

For example, in (c) of FIG. 15 , the intelligent recyclables collection device 100 classifies the object type of at least one object located in the input space of the sorting module 210 into the second type according to the shape of the cover. It can be determined as a transparent PET bottle for non-beverage among sorting containers or second-class sorting containers. For example, since no label is attached to the object in (c) of FIG. 15, the intelligent recycling collection device 100, according to the label, through the embodiment of FIG. 12, the object of the object of (c) of FIG. 15 The type cannot be determined, and the type of the object of FIG. 15(c) can be determined through the embodiment of FIG. 14 according to the cover.

According to an embodiment, the intelligent recyclables collection device 100 (1) determines the type of the object as a first-class sorting container according to the result of the artificial intelligence model for determining the type of the object, and (2) the When the type of the object is determined to be the type 2 sorting container according to the determination result of the shape of the cover of the object, the type of the object may be finally determined to be the type 2 sorting container.

16 is a flowchart of an operation of an intelligent recyclables collection device according to an embodiment of the present invention. 16 may be described with reference to FIG. 17 . 17 is a view for explaining a selection criterion based on a snout part among the sorting criteria of the intelligent recyclables collection device according to an embodiment of the present invention.

16 and 17, it is determined whether at least one object located in the sorting module 210 of the intelligent recyclables collection device 100 is a first-class sorting container (eg, a transparent PET bottle for beverage) according to the spout portion. It is possible to understand an embodiment of determining whether it is a 2-type sorting container (eg, a transparent PET bottle for non-beverage use).

The operations of FIG. 16 may be organically performed with the operations of FIG. 6 , the operations of FIG. 9 , the operations of FIG. 12 , and/or the operations of FIG. 14 . For example, at least some of the operations of FIG. 16 may be performed before, during, or after the operation of FIG. 6, the operation of FIG. 9, the operation of FIG. 12, and/or the operation of FIG. 14 is performed. can Alternatively, at least some of the operations of FIG. 16 may not be performed.

Referring to FIG. 16 , in operation 1601, according to an embodiment of the present invention, the intelligent recyclables collection device 100 (eg, the processor 440), at least one object located in the input space of the sorting module 210 Recognize the shape of the muzzle of an object. For example, referring to FIG. 17, the intelligent recycling collection device 100 recognizes the shape of the cover of at least one object located in the input space of the sorting module 210, so that the at least one object is (a) ), it can be determined that it is a type 1 selection container or a type 2 selection container as shown in (b). In FIG. 17, (a) is a type 1 sorting container (eg, a PET bottle for beverage) in which an inclined surface is formed on a spout (eg, a first spout), and (b) is a shape in which an object is a type 2 sorting container (Example: an opaque plastic bottle), which has a shape in which a parallel plane is formed on the spout (eg, a second spout).

In operation 1603, according to an embodiment of the present invention, the intelligent recycling collection device 100 (eg, the processor 440) determines the shape of the spout of at least one object located in the input space of the sorting module 210. It may be determined whether or not the first spout corresponds to the predetermined first spout (eg, a spout corresponding to a type 1 sorting container).

In operation 1605, according to an embodiment of the present invention, the intelligent recycling collection device 100 (eg, the processor 440) determines the shape of the spout of at least one object located in the input space of the sorting module 210. Based on the correspondence to this predetermined first spout (eg, a spout corresponding to the first type sorting container), the object type of the at least one object is classified as a first type sorting container (eg, a transparent PET bottle for beverage). can decide For example, according to the shape of the spout, the intelligent recycling collection device 100 determines the type of at least one object located in the input space of the sorting module 210 as a first-class sorting container (eg, for beverages). transparent PET bottle), operation 613 of FIG. 6 may be performed. According to an embodiment, the intelligent recyclables collection device 100 determines the type of the object according to (1) a result of determining the type of the object and (2) a result of determining the shape of the spout of the object. When all are determined as the first-class sorting containers, the type of the object may be finally determined as the first-type sorting container.

In operation 1607, according to an embodiment of the present invention, the intelligent recycling collection device 100 (eg, the processor 440) determines the shape of the spout of at least one object located in the input space of the sorting module 210. It may be determined whether or not this corresponds to the predetermined second spout (eg, a spout corresponding to a type 2 sorting container).

In operation 1609, according to an embodiment of the present invention, the intelligent recycling collection device 100 (eg, the processor 440) determines the shape of the spout of at least one object located in the input space of the sorting module 210. Based on the corresponding to the predetermined second spout (eg, a spout corresponding to the second type sorting container), the type of the object of the at least one object is determined as a second type sorting container (eg, a non-beverage transparent PET bottle, opaque PET bottle, or general plastic). For example, according to the shape of the spout, the intelligent recycling collection device 100 determines the type of at least one object located in the input space of the sorting module 210 as a first-class sorting container (eg, for beverages). transparent PET bottle), operation 613 of FIG. 6 may be performed. According to an embodiment, the intelligent recyclables collection device 100 (1) determines the type of the object as a first-class sorting container according to the result of the artificial intelligence model for determining the type of the object, and (2) the When the type of the object is determined to be the type 2 sorting container according to the result of the determination of the shape of the spout of the object, the type of the object may be finally determined to be the type 2 sorting container.

18 is a flowchart of an operation of an intelligent recyclables collection device according to an embodiment of the present invention.

Referring to Figure 18, it is possible to understand the grade according to the presence or absence of the cover.

The operations of FIG. 18 may be organically performed with the operations of FIG. 6 , the operations of FIG. 9 , the operations of FIG. 12 , the operations of FIG. 14 , and/or the operations of FIG. 16 . For example, at least some of the operations of FIG. 18 are performed before, during, or during the operation of FIG. 6, the operation of FIG. 9, the operation of FIG. 12, the operation of FIG. 14, and/or the operation of FIG. 16 are performed. can be performed after Alternatively, at least some of the operations of FIG. 18 may not be performed.

Referring to FIG. 18 , in operation 1801, according to an embodiment of the present invention, the intelligent recyclables collection device 100 (eg, the processor 440), at least one object located in the input space of the sorting module 210 It is possible to check whether the object has a cover or not.

In operation 1803, according to an embodiment of the present invention, the intelligent recycling collection device 100 (eg, the processor 440) determines whether a cover of at least one object located in the input space of the sorting module 210 is present. Based on, a grade of the at least one object may be determined. For example, when the intelligent recycling collection device 100 does not have a cover on at least one object located in the input space of the sorting module 210, the at least one object is rated 1 (eg, high). grade), and if a part of the cover is present in at least one object located in the input space of the sorting module 210, the grade of the at least one object may be determined as a second grade (eg, intermediate grade). and, when all of the cover exists in at least one object located in the input space of the sorting module 210, the grade of the at least one object may be determined as 3 grade (eg, low grade).

In operation 1805, according to an embodiment of the present invention, the intelligent recycling collection device 100 (eg, the processor 440) identifies the user of the intelligent recycling collection device 100 and, through a communication circuit, operates 1803 Data on the grade determined in and data on the user may be transmitted to the server 300 . Data transmitted to the server 300 (eg, data on the determined grade and data on the user) may be used to determine points to be provided to the user. For example, the first user provides a transparent PET bottle for beverages, the transparent PET bottle for beverages provided by the first user is determined to be Grade 1 without a cover, and the second user provides the same transparent PET bottle for beverages. And, if the transparent PET bottle for beverage provided by the second user is determined to be grade 3 with the cover present, the points provided to the first user may be higher than the points to be provided to the second user. The points provided to the user will be described later.

19 is a view for explaining a shield of a loading box of an intelligent recyclables collection device according to an embodiment of the present invention.

Referring to FIG. 19 , the loading box 230 of the intelligent recycling collection device 100 may be divided into a plurality of spaces (eg, a first loading box, a second loading box, or a third loading box).

For example, although FIG. 19 shows the loading box 230 divided into two spaces, this is exemplary, and an embodiment in which the loading box 230 is divided into three or more spaces is also understood similarly to FIG. 19 It can be.

19 shows the first loading box 1910 in which the first type sorting container is loaded and the second loading box 1920 in which the second type sorting container is loaded, but this is exemplary, and through FIG. 19, At least two of the first loading box 1910 in which the first type sorting container is loaded, the second loading box 1920 in which the second type sorting container is loaded, or the third loading box 1920 in which the third type sorting container is loaded. can understand about

Referring to FIG. 19, the loading box 230 of the intelligent recycling collection device 100 includes a first loading box 1910 in which the first type sorting container is loaded, and a second loading box 1920 in which the second type sorting container is loaded. can include The loading box 230 of the intelligent recycling collection device 100 may include a third loading box in which a third type sorting container is loaded, but the third loading box is not shown in FIG. 19 . The loading box 230 of the intelligent recycling collection device 100 may include a fourth loading box 1940 in which containers may be additionally loaded. A first shield 1911 may be present between the first loading box 1910 and the fourth loading box 1940 . The first shield 1911 may move in the first direction. A second shield 1922 may be present between the second loading box 1920 and the fourth loading box 1940 . The second shield 1922 may move in the second direction.

The intelligent recycling collection device 100 (eg, the processor 440) according to an embodiment of the present invention moves the first shielding film 1911 or the second shielding film 1922, so that the maximum of the first loading box 1910 The loading capacity or the maximum loading capacity of the second loading box 1920 may be adjusted. For example, in FIG. 19 , the first shielding film 1911 and the second shielding film 1922 may be in a minimum state. The minimum state may mean that the disposition position of the first shielding film 1911 or the second shielding film 1922 is a position that minimizes the loading capacity of the first loading box 1910 or the second loading box 1920. For example, in FIG. 19 , a state in which the arrangement of the first shield 1911 is vertical may be a state in which the loading capacity of the first loading box 1910 is minimal. For example, in FIG. 19 , a state in which the second shield 1922 is placed in contact with the side surface of the second loading box 1922 may be a state in which the loading capacity of the second loading box 1920 is minimal. The maximum state may mean that the disposition position of the first shielding film 1911 or the second shielding film 1922 is a position where the loading capacity of the first loading box 1910 or the second loading box 1920 is maximized. The maximum state of the first shield 1911 can be understood in FIG. 22 and the maximum state of the second shield 1922 can be understood in FIG. 23 .

20 is a flowchart of an operation of an intelligent recyclables collection device according to an embodiment of the present invention. 20 may be described with reference to FIGS. 19, 21, 22, and 23. 21 is a view explaining the loading amount of the loading box of the intelligent recyclables collection device according to an embodiment of the present invention. 22 is a diagram explaining the maximum loading capacity of the first loading box of the intelligent recycling collection device according to an embodiment of the present invention. 23 is a view for explaining the maximum loading capacity of the second loading box of the intelligent recycling collection device according to an embodiment of the present invention.

The operations of FIG. 20 may be organically performed with the operations of FIG. 6 , the operations of FIG. 9 , the operations of FIG. 12 , the operations of FIG. 14 , the operations of FIG. 16 , and/or the operations of FIG. 18 . there is. For example, at least some of the operations of FIG. 20 are performed before the operation of FIG. 6, the operation of FIG. 9, the operation of FIG. 12, the operation of FIG. 14, the operation of FIG. 16, and/or the operation of FIG. 18 are performed. It can be done either during or after it is done. Alternatively, at least some of the operations of FIG. 20 may not be performed.

Referring to FIG. 20 , in operation 2001, according to an embodiment of the present invention, the intelligent recycling collection device 100 (eg, the processor 440) uses an infrared sensor included in the sensor module 413 to remove waste. The loading amount of the first loading box (eg, 1910 in FIG. 21 ) and the loading amount of the second loading box (eg, 1920 in FIG. 21 ) may be checked. For example, as shown in FIG. 21 , in the minimum state of the first shield 1911 and the minimum state of the second shield 1922, the intelligent recycling collection device 100 uses an infrared sensor included in the sensor module 413 It is possible to check the loading amount of the first loading box 1910 and the loading amount of the second loading box 1920 by using the The loading amount may be confirmed as a percentage (%), which is the amount of loaded objects relative to the loading capacity of the loading box (eg, the first loading box 1910 or the second loading box 1920) as a relative quantity, or as an absolute quantity of loading boxes (eg, the second loading box 1920). It may be identified as liters (L), which is the amount of objects loaded in the first loading box 1910 or the second loading box 1920.

In operation 2003, according to an embodiment of the present invention, the intelligent recyclables collection device 100 (eg, the processor 440) may compare the loading amount determined in operation 2001 with a reference value. For example, the reference value may be specified as a percentage (%) as a relative amount or as a liter (L) as an absolute amount. For example, the intelligent recycling collection device 100 may compare the loading amount of the first loading box 1910 with a first reference value. The first reference value is a reference value corresponding to the first loading box 1910 and may be designated as 80% or 20L. For example, the intelligent recycling collection device 100 may compare the loading amount of the second loading box 1920 with a second reference value. The second reference value is a reference value corresponding to the second loading box 1920, and may be designated as 80% or 20L, the same as the first reference value, or 90% or 25L (or 70% or 15L). It may be specified differently from the standard value.

According to an embodiment of the present invention, the intelligent recycling collection device 100 (eg, the processor 440) determines the comparison result between the loading amount of the first loading box 1910 and the first reference value, and/or the second loading box 1920. ) Based on the comparison result between the loading amount and the second reference value, the 2005 operation may be performed.

In operation 2005, according to an embodiment of the present invention, the intelligent recycling collection device 100 (eg, the processor 440) determines the comparison result between the loading amount of the first loading bin 1910 and the first reference value, and/or the first reference value. Based on the comparison result between the loading amount of the two loading boxes 1920 and the second reference value, the first shield 1911 and/or the second shield 1922 may be controlled. The intelligent recycling collection device 100 determines the first loading box 1910 based on the comparison result between the loading amount of the first loading box 1910 and the first reference value and/or the comparison result between the loading amount of the second loading box 1920 and the second reference value. 1910 and/or a signal for adjusting the maximum loading capacity of the second loading box 1920 may be generated.

For example, the intelligent recycling collection device 100 may generate a first signal for increasing the maximum loading capacity of the first loading box 1910 based on the loading amount of the first loading box 1910 being greater than or equal to a first reference value. can Referring to FIG. 22 , the intelligent recyclables collection device 100 may change the first shield 1911 from a minimum state to a maximum state based on a first signal. In FIG. 22 , as the first shield 1911 is changed to the maximum state, at least some of the objects loaded in the first loading box 1910 may move to the fourth loading box 1940 .

For example, the intelligent recycling collection device 100 may generate a second signal for increasing the maximum loading capacity of the second loading box 1910 based on the loading amount of the second loading box 1910 being equal to or greater than the second reference value. can Referring to FIG. 23 , the intelligent recyclables collection device 100 may change the second shield 1922 from a minimum state to a maximum state based on the second signal. In FIG. 23 , as the second shield 1922 is changed to the maximum state, at least some of the objects loaded in the second loading box 1920 may move to the fourth loading box 1940 .

For example, the intelligent recycling collection device 100 gives priority in advance based on the fact that the loading amount of the first loading box 1910 is equal to or greater than a first reference value and the loading amount of the second loading box 1910 is greater than or equal to a second reference value. A first signal for increasing the maximum loading capacity of the first loading box 1910 may be generated. Referring to FIG. 22 , the intelligent recyclables collection device 100 may change the first shield 1911 from a minimum state to a maximum state based on a first signal. In FIG. 22 , as the first shield 1911 is changed to the maximum state, at least some of the objects loaded in the first loading box 1910 may move to the fourth loading box 1940 . Among the first loading box 1910 and the second loading box 1920, a loading box to which priority is given in advance may be changed according to a setting.

According to the embodiments of FIGS. 19 to 23, by controlling the shield (eg, the first shield 1911 or the second shield 1922) according to the load amount of the load box 230, the first load box ( 1910) or the maximum loading capacity of the second loading box 1920 may be changed. Accordingly, the intelligent recycling collection device 100 organically adjusts the amount of objects loaded into the loading box 230, thereby having an effect of loading the maximum amount of objects into the loading box 230.

24 is a diagram explaining an input space of a sorting module of an intelligent recyclables collection device according to an embodiment of the present invention.

Referring to FIG. 24 , the input space of the sorting module 210 of the intelligent recyclables collection device 100 according to an embodiment of the present invention may be divided into a plurality of rooms. For example, the input space of the sorting module 210 may include a first space 2410, a second space 2420, and a third space 2430, and the input space of the sorting module 210 There is no limit to the number. The input space of the sorting module 210 may be a space for a user to input a plurality of objects into the intelligent recyclables collection device 100 at once.

Referring to FIG. 24 , the first space 2410 of the sorting module 210 of the intelligent recycling collection device 100 according to an embodiment of the present invention includes a first bottom surface 2411 and a first side surface 2412. can include The intelligent recycling collection device 100 (eg, the processor 440) controls the first bottom surface 2411 and/or the first side surface 2412 of the first space 2410 of the sorting module 210 to be opened. can do. The second space 2420 of the sorting module 210 of the intelligent recyclables collection device 100 may include a second bottom surface 2421 and a second side surface 2422 . The intelligent recycling collection device 100 (eg, the processor 440) controls the second bottom surface 2421 and/or the second side surface 2422 of the second space 2420 of the sorting module 210 to be opened. can do. The third space 2430 of the sorting module 210 of the intelligent recyclables collection device 100 may include a third bottom surface 2431 and a third side surface 2432 . The intelligent recycling collection device 100 (eg, the processor 440) controls the third bottom surface 2431 and/or the third side surface 2432 of the third space 2430 of the sorting module 210 to be opened. can do. There is no limitation on the manner in which each surface disclosed in FIG. 24 is opened.

25 is a diagram illustrating foreign matter detection sensors disposed in a plurality of spaces of a sorting module of an intelligent recyclables collection device according to an embodiment of the present invention.

Referring to FIG. 25, the input space of the sorting module 210 of the intelligent recyclables collection device 100 according to an embodiment of the present invention may be divided into a plurality of spaces, and the intelligent recyclables collection device 100 A plurality of foreign matter detection sensors (eg, capacitive sensors included in the sensor module 413) corresponding to each of the plurality of spaces of the sorting module 210 may be included. For example, the intelligent recycling collection device 100 includes a first foreign matter detection sensor 2511 corresponding to the first space 2410 of the sorting module 210, and the second space of the sorting module 210 ( A second foreign matter detection sensor 2521 corresponding to 2420 may be included, and a third foreign matter detection sensor 2531 corresponding to the third space 2430 of the sorting module 210 may be included. For example, the first foreign matter detection sensor 2511 is disposed on a side (eg, a side different from the first side 2412 of FIG. 24 ) of the first space 2410, and the second foreign matter detection sensor 2521 is It is disposed on the side of the second space 2420 (eg, a side different from the second side 2422 of FIG. It may be disposed on a side different from the third side 2432 of the . The intelligent recycling collection device 100 (eg, the processor 440) uses the first foreign matter detection sensor 2511, the second foreign matter detection sensor 2521, and/or the third foreign matter detection sensor 2531, A foreign substance may be detected from at least one object existing in the first space 2410 , the second space 2420 , and/or the third space 2430 of the sorting module 210 .

26 is a side view of the input space of the sorting module of the intelligent recyclables collection device according to an embodiment of the present invention.

Referring to FIG. 26 , the intelligent recyclables collection device 100 according to an embodiment of the present invention includes a first camera 2610 (eg, among the cameras 411 of FIG. 4 ) disposed in front of the sorting module 210. A camera disposed on the front surface of the sorting module 210), and a second camera 2620 disposed on the upper surface of the sorting module 210 (eg, among the cameras 411 of FIG. 4, disposed on the upper surface of the sorting module 210) camera) may be included.

For example, the first camera 2610 may be configured in a plurality of spaces of the sorting module 210 (eg, the first space 2410, the second space 2420, or the third space 2430 of FIG. 24 ). Can be viewed from the front of the sorting module (210). The intelligent recycling collection device 100 (eg, the processor 440) uses the first camera 2610 to view a plurality of spaces of the sorting module 210 from the front of the sorting module 210. (Example: An image of the first space 2410, the second space 2420, or the third space 2430 of FIG. 24 may be acquired. For example, the intelligent recycling collection device 100 (eg, the processor 440) uses the first camera 2610 to determine a plurality of spaces of the sorting module 210 (eg, the first space of FIG. 24 ). 2410 , the type of object of at least one object existing in the second space 2420 , or the third space 2430 , or whether a foreign substance exists may be determined.

For example, the second camera 2620 may be configured in a plurality of spaces of the sorting module 210 (eg, the first space 2410, the second space 2420, or the third space 2430 of FIG. 24 ). can be viewed from the upper surface of the sorting module 210. The intelligent recycling collection device 100 (eg, the processor 440) uses the second camera 2620 to view a plurality of spaces of the sorting module 210 from the top of the sorting module 210. (Example: An image of the first space 2410, the second space 2420, or the third space 2430 of FIG. 24 may be acquired. For example, the intelligent recycling collection device 100 (eg, the processor 440) uses the second camera 2620 to determine a plurality of spaces of the sorting module 210 (eg, the first space of FIG. 24 ). 2410 , the second space 2420 , or the third space 2430 , respectively, it may be checked whether at least two objects exist.

27 is a flowchart of an operation of an intelligent recyclables collection device according to an embodiment of the present invention. 27 may be described with reference to FIGS. 24, 25, 26, 28, 29, 30, and 31 . 28 is a diagram for explaining the movement of the sorting module of the intelligent recyclables collection device according to an embodiment of the present invention. 29 is a view for explaining the rotation of the sorting module of the intelligent recyclables collection device according to an embodiment of the present invention. 30 is a diagram for explaining the movement and rotation of the sorting module of the intelligent recyclables collection device according to an embodiment of the present invention. 31 is a view for explaining a case in which at least two objects exist in each space of a sorting module of an intelligent recyclables collection device according to an embodiment of the present invention.

Referring to FIG. 28 , the sorting module 210 of the intelligent recyclables collection device 100 according to an embodiment of the present invention may be movable in at least one of forward/backward/left/right directions. The intelligent recyclables collection device 100 (eg, the processor 440) may generate a signal to move the sorting module 210 in at least one of forward/backward/left/right directions. The intelligent recyclables collection device 100, according to the object type of at least one object present in the sorting module 210, puts the sorting module 210 into a stack corresponding to the type of object of at least one object (eg: It may be moved to a position corresponding to the first loading box 2810, the second loading box 2820, or the third loading box 2830. The first loading box 2810, the second loading box 2820, or the third loading box 2830 disclosed in FIG. 28 is the shield disclosed in FIG. 19 (eg, the first shield 1911 or the second shield 1922) It may be a separate space.

Referring to FIG. 28, the intelligent recycling collection device 100 (eg, the processor 440) according to an embodiment of the present invention moves the sorting module 210 to a position corresponding to an appropriate loading box, and the sorting module ( 210) of the plurality of spaces (eg, the first space 2410, the second space 2420, or the third space 2430 of FIG. 24) to be opened at the location of the selection module 210 (eg : The bottom surface (eg, the first bottom surface 2411 of the first space 2410 of FIG. 24 ) of the first space 2410 of FIG. 24 may be determined. For example, when a first object exists in the first space 2410 of the sorting module 210 and the first object is a first-class sorting container, the intelligent recycling collection device 100, the sorting module 210 is moved to a first position corresponding to the first loading box 2810 corresponding to the first type sorting container, and the first space 2410 of the sorting module 210 in a state where the sorting module 210 is located at the first position The first bottom surface 2411 of can be controlled to open.

Referring to FIG. 29 , the sorting module 210 of the intelligent recyclables collection device 100 according to an embodiment of the present invention may be rotatable within a predetermined angular range. The intelligent recyclables collection device 100 (eg, the processor 440) may generate a signal to rotate the sorting module 210 within a predetermined angular range. The intelligent recyclables collection device 100, according to the object type of at least one object present in the sorting module 210, puts the sorting module 210 into a stack corresponding to the type of object of at least one object (eg: It may be rotated at an angle corresponding to the first loading box 2810, the second loading box 2820, or the third loading box 2830. The first loading box 2910, the second loading box 2920, or the third loading box 2930 disclosed in FIG. 29 is a shield (eg, the first shield 1911 or the second shield 1922) disclosed in FIG. It may be a separate space.

Referring to FIG. 29, the intelligent recycling collection device 100 (eg, the processor 440) according to an embodiment of the present invention rotates the sorting module 210 at an angle corresponding to an appropriate loading box, and the sorting module ( 210) of the plurality of spaces (eg, the first space 2410, the second space 2420, or the third space 2430 of FIG. 24) to be opened at the angle of the sorting module 210 (eg : A side surface (eg, a first side surface 2412 of the first space 2410 of FIG. 24 ) of the first space 2410 of FIG. 24 may be determined. For example, when a first object exists in the first space 2410 of the sorting module 210 and the first object is a first-class sorting container, the intelligent recycling collection device 100, the sorting module 210 is rotated at a first angle corresponding to the first loading box 2910 corresponding to the first type sorting container, and the first space 2410 of the sorting module 210 in a state in which the sorting module 210 is rotated at the first angle ) can be controlled to open the first side surface 2412.

Referring to FIG. 30 , the sorting module 210 of the intelligent recyclables collection device 100 according to an embodiment of the present invention is movable in at least one of forward/backward/left/right directions and within a predetermined angular range. can be rotated within The intelligent recycling collection device 100 (eg, the processor 440) generates a signal to move the sorting module 210 in at least one of forward/backward/left/right directions and to rotate within a predetermined angular range. can do. The intelligent recyclables collection device 100, according to the object type of at least one object present in the sorting module 210, puts the sorting module 210 into a stack corresponding to the type of object of at least one object (eg: Moves to a position corresponding to the first loading box 2810, the second loading box 2820, or the third loading box 2830) and corresponds to the object type of at least one object (eg, the first loading box 2810). , may be rotated at an angle corresponding to the second loading box 2820 or the third loading box 2830). The first loading box 3010, the second loading box 3020, or the third loading box 3030 disclosed in FIG. 30 is the shield disclosed in FIG. 19 (eg, the first shield 1911 or the second shield 1922) It may be a separate space.

Referring to FIG. 30 , the intelligent recyclables collection device 100 (eg, the processor 440) according to an embodiment of the present invention moves the sorting module 210 to a position corresponding to an appropriate loading box and moves the sorting module 210 ) is rotated at an angle corresponding to an appropriate loading box, and a plurality of spaces of the sorting module 210 (eg, the first space 2410, the second space 2420, or the third space 2430 in FIG. 24) The bottom surface (eg, the first floor surface of the first space 2410 in FIG. 24) of the space to be opened (eg, the first space 2410 in FIG. 2411) and/or a side surface (eg, the first side surface 2412 of the first space 2410 in FIG. 24 ).

For example, when a first object exists in the first space 2410 of the sorting module 210 and the first object is a first-class sorting container, the intelligent recycling collection device 100, the sorting module 210 is moved to a first position corresponding to the first loading box 3010 corresponding to the first type sorting container, and the first space 2410 of the sorting module 210 in a state in which the sorting module 210 is located at the first position The first bottom surface 2411 of can be controlled to open.

For example, when a first object exists in the first space 2410 of the sorting module 210 and the first object is a second-class sorting container, the intelligent recycling collection device 100, the sorting module 210 is moved to a second position corresponding to the second loading box 3020 corresponding to the second sorting container, rotated at a second angle corresponding to the second loading box 3020, and the sorting module 210 is moved to the second position The first bottom surface 2411 and the first side surface 2412 of the first space 2410 of the sorting module 210 may be controlled to open in a state of being positioned at and rotated at a second angle.

For example, when a first object exists in the first space 2410 of the sorting module 210 and the first object is a third-class sorting container, the intelligent recycling collection device 100, the sorting module 210 is moved to a third position corresponding to the third loading box 3030 corresponding to the type 3 sorting container, rotated at a third angle corresponding to the third loading box 3030, and the sorting module 210 is moved to the third position The first side 2412 of the first space 2410 of the sorting module 210 may be controlled to be opened in a state of being located at and rotated at a third angle.

Referring to FIG. 31 , the intelligent recyclables collection device 100 (eg, the processor 440) according to an embodiment of the present invention includes a first camera (eg, the processor 440) disposed in front of the sorting module 210 (eg, in FIG. 26 ). A plurality of spaces of the sorting module 210 using the first camera 2610) and/or the second camera (eg, the second camera 2620 of FIG. 26) disposed on the upper surface of the sorting module 210. It may be determined whether or not at least two objects exist in each of the spaces (eg, the first space 2410 , the second space 2420 , and the third space 2430 ). In FIG. 31 , taking the first space 2410 as an example, the intelligent recycling collection device 100 in (a) includes a first camera (eg, the first camera 2610 of FIG. 26 ) and/or a second camera 2610 . It may be determined that one object exists in the first space 2410 of the sorting module 210 by using a camera (eg, the second camera 2620 of FIG. 26 ). In (b) of FIG. 31 , the intelligent recycling collection device 100 includes a first camera (eg, the first camera 2610 of FIG. 26 ) and/or a second camera (eg, the second camera 2620 of FIG. 26 ). )), it is possible to determine that two objects exist in the first space 2410 of the sorting module 210. In (c) of FIG. 31 , the intelligent recycling collection device 100 includes a first camera (eg, the first camera 2610 of FIG. 26 ) and/or a second camera (eg, the second camera 2620 of FIG. 26 ). )), it is possible to determine that two objects exist in a line in the first space 2410 of the sorting module 210 and that one object exists in front of the two objects existing in a line.

The operations of FIG. 27 are the operations of FIG. 6 , the operations of FIG. 9 , the operations of FIG. 12 , the operations of FIG. 14 , the operations of FIG. 16 , the operations of FIG. 18 , and/or the operations of FIG. 20 . and can be performed organically together. For example, at least some of the operations of FIG. 27 include the operation of FIG. 6, the operation of FIG. 9, the operation of FIG. 12, the operation of FIG. 14, the operation of FIG. 16, the operation of FIG. 18, and/or the operation of FIG. 20. It can be performed before, during, or after it is performed. Alternatively, at least some of the operations of FIG. 27 may not be performed.

Referring to FIG. 27 , in operation 2701, according to an embodiment of the present invention, the intelligent recycling collection device 100 (eg, the processor 440) includes a first camera disposed in front of the sorting module 210 ( 2610) to obtain the first image. Operation 2701 can be understood similarly to operation 601.

In operation 2703, according to an embodiment of the present invention, the intelligent recycling collection device 100 (eg, the processor 440) uses the second camera 2620 disposed on the upper surface of the sorting module 210 to remove the waste. 2 images can be obtained. Operation 2703 can be understood similarly to operation 601.

In operation 2705, according to an embodiment of the present invention, the intelligent recycling collection device 100 (eg, the processor 440) uses the first image of operation 2701 and the second image of operation 2703 to select a module ( It may be determined whether at least two objects exist in each of the plurality of spaces (eg, the first space 2410 , the second space 2420 , and the third space 2430 ) of 210 .

In operation 2707, according to an embodiment of the present invention, the intelligent recycling collection device 100 (eg, the processor 440) includes a plurality of spaces of the sorting module 210 (eg, the first space 2410, Based on the absence of at least two objects in each of the second space 2420 and the third space 2430, obtained using the first camera 2610 disposed in front of the sorting module 210 In the first image, the type of object corresponding to at least one object may be determined. Determining the type of object in operation 2707 can be understood through the operations of FIG. 6 .

In operation 2709, according to an embodiment of the present invention, the intelligent recycling collection device 100 (eg, the processor 440), the first camera 2610 or foreign matter detection sensor disposed in front of the sorting module 210 (Example: at least one of the first foreign matter detection sensor 2511, the second foreign matter detection sensor 2521, or the third foreign matter detection sensor 2531 of FIG. 25) It is possible to determine whether a foreign substance is detected from one object. For example, the intelligent recycling collection device 100 obtains a third image using the first camera 2610 disposed in front of the sorting module 210, and/or a plurality of images of the sorting module 210. Spaces (eg, first space 2410, second space 2410, second space 2410, second space 2410, second space 2410, second space 2410) in which at least one object existing in spaces (eg, first space 2410, second space 2420, and third space 2430) is located. A foreign matter detection sensor (eg, the first foreign matter detection sensor 2511, the second foreign matter detection sensor 2521, or the third foreign matter detection sensor 2521 of FIG. 25) corresponding to at least one of the space 2420 and the third space 2430. Sensor data may be obtained through at least one of the detection sensors 2531 . The intelligent recyclables collection device 100 may determine whether a foreign substance is detected from at least one object present in the sorting module 210 based on the third image or the sensor data.

According to an embodiment of the present invention, the intelligent recyclables collection device 100 (eg, the processor 440) may output a collection message based on the foreign matter being detected in operation 2709 .

In operation 2711, according to an embodiment of the present invention, the intelligent recyclables collection device 100 (eg, the processor 440), based on the fact that foreign substances are not detected in operation 2709, the plurality of items of the sorting module 210 At least one object is placed in a loading box corresponding to the object type of at least one object existing in the spaces (eg, the first space 2410, the second space 2420, and the third space 2430). The sorting module 210 may be controlled to load. Regarding the movement and rotation of the sorting module 210 and the opening of the plurality of spaces (eg, the first space 2410, the second space 2420, and the third space 2430) of the sorting module 210 It can be understood through FIGS. 28, 29, and 30.

In operation 2713, according to an embodiment of the present invention, the intelligent recycling collection device 100 (eg, the processor 440) includes a plurality of spaces of the sorting module 210 (eg, the first space 2410, Based on the fact that at least two objects exist in each of the second space 2420 and the third space 2430, it may be determined whether the types of objects of the at least two objects are different.

In operation 2715, according to an embodiment of the present invention, the intelligent recycling collection device 100 (eg, the processor 440) includes a plurality of spaces of the sorting module 210 (eg, the first space 2410, Based on the fact that the types of objects of at least two objects existing in the second space 2420 and the third space 2430 are different, a message about the collection of the article is output through the display 450 while intelligent recycling A signal for opening the input unit 111 of the collection device 100 may be generated.

In operation 2717, according to an embodiment of the present invention, the intelligent recycling collection device 100 (eg, the processor 440) includes a plurality of spaces of the sorting module 210 (eg, the first space 2410, Based on the fact that the types of objects of at least two objects existing in the second space 2420 and the third space 2430, respectively, are the same, the at least two objects are transferred to a loading box corresponding to the type of the objects. The screening module 210 may be controlled.

32 is a flowchart of an operation of an intelligent recyclables collection device according to an embodiment of the present invention. 32 may be described with reference to FIGS. 28, 29, and 30.

The operations of FIG. 32 are the operations of FIG. 6, the operations of FIG. 9, the operations of FIG. 12, the operations of FIG. 14, the operations of FIG. 16, the operations of FIG. 18, the operations of FIG. 20, and/or Alternatively, it may be organically performed together with the operations of FIG. 27 . For example, at least some of the operations of FIG. 32 include the operation of FIG. 6, the operation of FIG. 9, the operation of FIG. 12, the operation of FIG. 14, the operation of FIG. 16, the operation of FIG. 18, the operation of FIG. 20, and/or Alternatively, it may be performed before, during, or after the operation of FIG. 27 is performed. Alternatively, at least some of the operations of FIG. 32 may not be performed.

Referring to FIG. 32 , in operation 3201, according to an embodiment of the present invention, the intelligent recycling collection device 100 (eg, the processor 440) divides a plurality of spaces (eg, the second space) of the sorting module 210. Among the first space 2410 , the second space 2420 , and the third space 2430 , the object type of the first object existing in the first space 2410 may be determined.

In operation 3203, according to an embodiment of the present invention, the intelligent recycling collection device 100 (eg, the processor 440) includes a plurality of spaces of the sorting module 210 (eg, the first space 2410, Among the second space 2420 and the third space 2430 , the object type of the second object existing in the second space 2420 may be determined.

In operation 3205, according to an embodiment of the present invention, the intelligent recycling collection device 100 (eg, the processor 440) sorts based on the object type of the first object and the object type of the second object. Module 210 may determine the movement order of the locations to move. For example, based on the fact that the type of object of the first object is a type 1 sorting container and the type of object of the second object is a type 2 sorting container, the intelligent recycling collection device 100, the sorting module 210 ) is first moved to a first position corresponding to the first loading box (eg, the first loading box 2810 in FIG. 28) corresponding to the first type sorting container, and the sorting module 210 corresponds to the second type sorting container. A signal for later moving to a second position corresponding to the second loading box (eg, the second loading box 2820 of FIG. 28 ) may be generated.

In operation 3207, according to an embodiment of the present invention, the intelligent recycling collection device 100 (eg, the processor 440) may move the sorting module 210 based on the movement order determined in operation 3203. .

In FIG. 32 , only the movement of the sorting module 210 has been described, but rotation of the sorting module 210 can also be understood with reference to the embodiment of FIG. 32 .

33 is a flowchart of an operation of an intelligent recyclables collection device according to an embodiment of the present invention. 33 can be described with reference to FIG. 34 . 34 is a view for explaining the loading amount of the loading box of the intelligent recyclables collection device according to an embodiment of the present invention.

Referring to FIGS. 33 and 34 , an embodiment of displaying a loading amount in the intelligent recyclables collection device 100 according to an embodiment of the present invention may be understood.

Referring to FIG. 34 , the intelligent recycling collection device 100 according to an embodiment of the present invention includes each space of the loading box 230 (eg, the first loading box 3410, the second loading box 3420, or the third loading box 3420). Infrared sensors (eg, infrared sensors included in the sensor module 413 (eg, 3411, 3421, and 3431)) corresponding to the loading box 3430 may be included.

The operations of FIG. 33 are the operations of FIG. 6, the operations of FIG. 9, the operations of FIG. 12, the operations of FIG. 14, the operations of FIG. 16, the operations of FIG. 18, the operations of FIG. 20, and the operations of FIG. 27 It may be organically performed with the operations of and/or the operations of FIG. 32 . For example, at least some of the operations of FIG. 33 include the operation of FIG. 6, the operation of FIG. 9, the operation of FIG. 12, the operation of FIG. 14, the operation of FIG. 16, the operation of FIG. 18, the operation of FIG. 20, and the operation of FIG. 27 It may be performed before, during, or after the operation of and/or the operation of FIG. 32 is performed. Alternatively, at least some of the operations of FIG. 33 may not be performed.

Referring to FIG. 33 , in operation 3301, according to an embodiment of the present invention, the intelligent recycling collection device 100 (eg, the processor 440), each space of the loading box 230 (eg, the first loading box ( 3410), the second loading box 3420, or the third loading box 3430) by using each of the infrared sensors (eg, infrared sensors included in the sensor module 413 (eg, 3411, 3421, 3431)) , It is possible to check the loading amount of each space of the loading box 230 (eg, the first loading box 3410, the second loading box 3420, or the third loading box 3430).

In operation 3303, according to an embodiment of the present invention, the intelligent recycling collection device 100 (eg, the processor 440), through the display 450, each space of the loading box 230 (eg, the first loading box) 3410, the second loading box 3420, or the third loading box 3430) may be displayed.

According to an embodiment of the present invention, the intelligent recyclables collection device 100 (eg, the processor 440) may perform the operations of FIG. 20 based on the loading amount checked in operation 3301.

35 is a side view of the sorting module of the intelligent recyclables collection device according to an embodiment of the present invention. 36 is a top view of the sorting module of the intelligent recyclables collection device according to an embodiment of the present invention.

35 and 36, the intelligent recyclables collection device 100 includes a sorting module 210 including one input space, and a camera 3510 disposed on the upper surface of the sorting module 210 (eg : Among the cameras 411 of FIG. 4 , a camera disposed on the upper surface of the sorting module 210) may be included.

As shown in FIG. 35, when at least one object present in the input space of the sorting module 210 is erected, the at least one object is determined by the image acquired through the camera 3510 disposed on the upper surface of the sorting module 210. It can be difficult to determine the type of object of an object. At this time, the intelligent recyclables collection device 100 (eg, the processor 440) moves the sorting module 210 left and right repeatedly, so that at least one object existing in the input space of the sorting module 210 is moved to FIG. 36 You can make it fall like this.

As shown in FIG. 36, when at least one object present in the input space of the sorting module 210 is down, the intelligent recyclables collection device 100 (eg, the processor 440) is placed on the upper surface of the sorting module 210. An operation of determining the object type of the at least one object and/or detecting a foreign material from the at least one object may be performed using an image acquired through the disposed camera 3510 .

35 and 36, it is possible to determine the object type of at least one object existing in the insertion space of the sorting module 210 through a minimum configuration (eg, through a minimum number of cameras). there is.

37 is a diagram illustrating an intelligent recycling collection system according to an embodiment of the present invention.

Referring to FIG. 37 , the intelligent recycling collection system may include an intelligent recycling collection device 100 , a user device 200 , and a server 300 . At least one intelligent recycling collection device 100 may be mounted on the vehicle 3700 . The vehicle 3700 may move with at least one intelligent recycling collection device 100 mounted thereon.

Referring to FIG. 37 , the server 300 may include a communication circuit 3710 and a processor 3740. The server 300 may transmit/receive data with the user device 200 using the communication circuit 3710 . The server 300 may transmit/receive data with the vehicle 3700 or at least one intelligent recycling collection device 100 mounted on the vehicle 3700 by using the communication circuit 3710 .

38 is a flowchart of an operation of a server of an intelligent recyclables collection system according to an embodiment of the present invention.

Referring to FIG. 38 , in operation 3801, the server 300 (eg, processor 3740) of the intelligent recycling collection system according to an embodiment of the present invention includes at least one first intelligent recycling collection device (eg, intelligent A first collection target value of the first vehicle (eg, the vehicle 3700) equipped with the recyclables collection device 100 may be set.

In operation 3803, the server 300 (eg, the processor 3740) of the intelligent recyclables collection system according to an embodiment of the present invention sends a first vehicle (eg, the vehicle 3700) based on the first collection target value. ), the first collection route may be set. For example, the first collection route may include a plurality of first points to which the first vehicle (eg, the vehicle 3700) will move.

In operation 3805, the server 300 (eg, the processor 3740) of the intelligent recycling collection system according to an embodiment of the present invention, via the communication circuit 3710, the first vehicle (eg, the vehicle 3700) ) arrives at at least one point among the plurality of first points of the first collection route.

In operation 3807, the server 300 (eg, the processor 3740) of the intelligent recycling collection system according to an embodiment of the present invention, via the communication circuit 3710, the first vehicle (eg, the vehicle 3700) ) arrives at the first vehicle (eg, the vehicle 3700) to determine the first loading amount of the at least one first intelligent recycling collection device (eg, the intelligent recycling collection device 100). can

In operation 3809, the server 300 (eg, the processor 3740) of the intelligent recycling collection system according to an embodiment of the present invention includes the at least one first intelligent recycling collection device (eg, the intelligent recycling collection device) identified in operation 3807. The first loading amount of the recyclables collection device 100 may be compared with the collection target value set in operation 3801 .

In operation 3811, the server 300 (eg, the processor 3740) of the intelligent recycling collection system according to an embodiment of the present invention includes the at least one first intelligent recycling collection device (eg, the intelligent recycling collection device) identified in operation 3807. Based on the fact that the first loading amount of the recyclables collection device 100 is equal to or greater than the collection target value set in operation 3801, the collection route of the first vehicle (eg, vehicle 3700) is changed from the first collection route to the first modified route. can be changed to

In operation 3813, the server 300 (eg, the processor 3740) of the intelligent recycling collection system according to an embodiment of the present invention includes the at least one first intelligent recycling collection device (eg, the intelligent recycling collection device) identified in operation 3807. The collection route of the first vehicle (eg, vehicle 3700) may be maintained as the first collection route based on the fact that the first loading amount of the recyclables collection device 100 is less than the collection target value set in operation 3801.

39 is a flowchart of an operation of a server of an intelligent recyclables collection system according to an embodiment of the present invention. FIG. 39 may be described with reference to FIG. 40 . 40 is a diagram for explaining the operation of the server of the intelligent recyclables collection system according to an embodiment of the present invention.

Referring to FIG. 39 , in operation 3901, the server 300 (eg, the processor 3740) of the intelligent recycling collection system according to an embodiment of the present invention moves the first vehicle (eg, the vehicle 3700 of FIG. 37 ). A first collection route of the first vehicle) may be set. The first collection route may include a plurality of first points.

In operation 3903, the server 300 (eg, the processor 3740) according to an embodiment of the present invention selects a second collection route of the second vehicle (eg, the second vehicle among the vehicles 3700 of FIG. 37). can be set A method of setting the first collection route and the second collection route can be understood through operation 3803 of FIG. 38 . The second collection route may include a plurality of second points.

In operation 3905, the server 300 (eg, the processor 3740) of the intelligent recycling collection system according to an embodiment of the present invention connects the first vehicle (eg, the first vehicle among the vehicles 3700 of FIG. 37) and An intersection of the second vehicle (eg, the second vehicle among the vehicles 3700 of FIG. 37 ) may be selected. For example, the server 300, based on the plurality of first points of the first collection route and the plurality of second points of the second collection route, the first vehicle (eg, the vehicle 3700 of FIG. 37 ) An intersection point between the first vehicle of the vehicle and the second vehicle (eg, the second vehicle of the vehicle 3700 of FIG. 37 ) may be selected.

In operation 3907, the server 300 (eg, the processor 3740) of the intelligent recycling collection system according to an embodiment of the present invention, through the communication circuit 3710, the second vehicle (eg, the vehicle in FIG. 37 ( It is confirmed that the second vehicle (of vehicle 3700) has arrived at the intersection, and a standby signal is applied so that the second vehicle (eg, vehicle 3700 of FIG. 37) waits at the intersection. : Can be transmitted to the second vehicle of the vehicle 3700 in FIG. 37). For example, the server 300 may, via the communication circuit, at the intersection, the at least one second intelligent recycling collection device of the second vehicle (eg, the second vehicle among vehicles 3700 in FIG. 37 ). (e.g., the intelligent recycling collection device 100) is checked, and the checked second loading amount is collected from the second vehicle (e.g., the second vehicle among the vehicles 3700 in FIG. 37). Based on being less than the target value, the waiting signal is transmitted to the second vehicle via the communication circuit 3710 so that the second vehicle (e.g., the second vehicle of vehicle 3700 in FIG. 37) waits at the intersection. can be sent

In operation 3909, the server 300 (eg, the processor 3740) of the intelligent recycling collection system according to an embodiment of the present invention, via the communication circuit 3710, the first vehicle (eg, the vehicle of FIG. 37 ( It can be confirmed that the first vehicle) of 3700) has arrived at the intersection.

In operation 3911, the server 300 (eg, the processor 3740) of the intelligent recycling collection system according to an embodiment of the present invention sends the first vehicle (eg, the first vehicle among the vehicles 3700 of FIG. 37). A first loading amount of at least one first intelligent recyclables collection device (eg, the intelligent recyclables collection device 100) mounted thereon may be compared with a collection target value.

In operation 3913, the server 300 (eg, the processor 3740) of the intelligent recycling collection system according to an embodiment of the present invention sends the first vehicle (eg, the first vehicle among the vehicles 3700 of FIG. 37). Based on the fact that the first loading amount of at least one first intelligent recycling collection device (eg, the intelligent recycling collection apparatus 100) mounted is equal to or greater than the collection target value, the first vehicle (eg, among the vehicles 3700 of FIG. 37 ) The collection route of the first vehicle) may be changed from the first collection route to a first modified route.

In operation 3915, the server 300 (eg, the processor 3740) of the intelligent recycling collection system according to an embodiment of the present invention sends the first vehicle (eg, the first vehicle among the vehicles 3700 of FIG. 37). Based on the first loading amount of at least one mounted first intelligent recycling collection device (eg, the intelligent recycling collection apparatus 100) being less than the collection target value, the first vehicle (eg, among the vehicles 3700 in FIG. 37 ) A collection route of the first vehicle) may be maintained as the first collection route.

For example, referring to FIG. 40 , the server 300 (eg, the processor 3740) of the intelligent recyclables collection system according to an embodiment of the present invention performs the operations of FIG. 39 so that the first vehicle 4010 ) may be modified from the existing first collection route 4011 to the first modified route 4021, or the collection route of the first vehicle 4010 may be maintained as the existing first collection route 4011.

41 is a flowchart of an operation of a server of an intelligent recyclables collection system according to an embodiment of the present invention. FIG. 41 may be described with reference to FIG. 42 . 42 is a diagram for explaining the operation of the server of the intelligent recyclables collection system according to an embodiment of the present invention.

Referring to FIG. 41 , in operation 4101, the server 300 (eg, the processor 3740) of the intelligent recycling collection system according to an embodiment of the present invention, through the communication circuit 3710, the first vehicle (eg, : Loading data of each of a plurality of first points on the first collection route (eg, 4211 of FIG. 42 ) of 4210 of FIG. 42 may be obtained. The loading data of each of the plurality of first points on the first collection route (eg, 4211 in FIG. 42 ) may be data related to the loading amount of at least one intelligent recycling collection device 100 disposed at each of the plurality of first points. there is.

In operation 4103, the server 300 (eg, the processor 3740) of the intelligent recycling collection system according to an embodiment of the present invention, a plurality of first points on the first collection route (eg, 4211 in FIG. 42 ) Based on each loading data, a loading ratio of each of the plurality of first points (eg, 73% of point C in FIG. 42 ) may be calculated.

In operation 4105, the server 300 (eg, the processor 3740) of the intelligent recycling collection system according to an embodiment of the present invention, at least one vehicle mounted in the first vehicle (eg, 4210 in FIG. 42 ) 1 The loading ratio of the intelligent recycling collection device 100 (eg, the loading ratio of the first vehicle 4210 in FIG. 42 68%) may be calculated.

In operation 4107, the server 300 (eg, the processor 3740) of the intelligent recycling collection system according to an embodiment of the present invention sets the load ratio of operation 4103 (eg, 73% of point C in FIG. 42) and 4105 Based on the loading ratio of the operation (eg, the loading ratio of the first vehicle 4210 in FIG. 42 , 68%), it may be determined whether to modify the collection route of the first vehicle (eg, 4210 in FIG. 42 ). For example, referring to FIG. 42 , the server 300 determines the load ratio of operation 4103 (eg, 73% of point C in FIG. 42 ) and the load ratio of operation 4105 (eg, the first vehicle 4210 of FIG. 42 ). ) Based on the loading ratio of 68%), when the first vehicle (eg, 4210 in FIG. 42 ) runs on the first collection route 4211, which is an existing collection route, at least one intelligent vehicle disposed at point C When it is determined that all of the loaded amount of the recyclables collection device 100 cannot be collected, the collection route of the first vehicle (eg, 4210 in FIG. 42 ) is modified from the first collection route 4211 to the first corrected route 4221. can

43 is a flowchart of an operation of a server of an intelligent recyclables collection system according to an embodiment of the present invention.

Referring to FIG. 43 , in operation 4301, the server 300 (eg, the processor 3740) of the intelligent recycling collection system according to an embodiment of the present invention, from at least one user device 200, a reservation point, Information on reservation quantity and reservation time may be received.

In operation 4303, the server 300 (eg, the processor 3740) of the intelligent recycling collection system according to an embodiment of the present invention determines the reservation point, reservation quantity, and reservation received from the at least one user device 200. Based on the information about the time, a target collection value and a collection route of the vehicle (eg, the vehicle 3700 of FIG. 37 ) may be set.

In operation 4305, the server 300 (eg, the processor 3740) of the intelligent recycling collection system according to an embodiment of the present invention, from at least one user device 200, a reservation point (eg, an additional reservation point), Information on reservation quantity (eg, additional reservation quantity) and reservation time (eg, additional reservation time) may be additionally received.

In operation 4307, the server 300 (eg, the processor 3740) of the intelligent recycling collection system according to an embodiment of the present invention, the additional reservation point received from the at least one user device 200, the additional reservation Based on the information on the quantity and the additional reservation time, the reservation quantity at the at least one first additional point not included in the collection route is determined, and the reservation quantity and the reference quantity at the at least one first additional point are determined. can be compared.

In operation 4309, the server 300 (eg, the processor 3740) of the intelligent recycling collection system according to an embodiment of the present invention determines that the reservation quantity at at least one first additional point not included in the collection route is The collection route of the vehicle (eg, the vehicle 3700 of FIG. 37 ) may be modified from an existing collection route to a modified route based on a quantity equal to or greater than the reference quantity.

In operation 4311, the server 300 (eg, the processor 3740) of the intelligent recycling collection system according to an embodiment of the present invention determines that the reservation quantity at at least one first additional point not included in the collection route is Based on the quantity less than the reference quantity, the collection route of the vehicle (eg, the vehicle 3700 of FIG. 37 ) may be maintained as an existing collection route.

44 is a flowchart of an operation of a server of an intelligent recyclables collection system according to an embodiment of the present invention.

Referring to FIG. 44 , in operation 4401, the server 300 (eg, the processor 3740) of the intelligent recycling collection system according to an embodiment of the present invention sets the allowable number, the error range, and/or the allowable number of warnings. can The allowable number may be the number of recyclable items that one user can provide at one time. The error range may be an error range for comparing the reservation number and the reception number. The storage number may be the number of recyclable items actually provided by one user at one time. The permitted number of warnings may be the number of warnings allowed for one user. The server 300 may not set the allowable number. In this case, after operation 4405, operation 4407 may be omitted and operation 4409 may be performed.

In operation 4403, the server 300 (eg, the processor 3740) of the intelligent recycling collection system according to an embodiment of the present invention, from the user device 200, information on the reservation point, reservation quantity, and reservation time. can receive

In operation 4405, the server 300 (eg, the processor 3740) of the intelligent recycling collection system according to an embodiment of the present invention determines the reservation point, reservation quantity, and reservation time received from the user device 200. Based on the information, a collection target value and a collection route of the vehicle (eg, vehicle 3700 of FIG. 37 ) may be set.

In operation 4407, in the server 300 (eg, the processor 3740) of the intelligent recycling collection system according to an embodiment of the present invention, the reserved quantity identified in the information received from the user device 200 exceeds the allowable number. You can check whether it does.

In operation 4409, the server 300 (eg, the processor 3740) of the intelligent recycling collection system according to an embodiment of the present invention determines that the reservation quantity confirmed in the information received from the user device 200 is less than or equal to the allowable number. Based on the information received from the user device 200, it is possible to count the quantity actually stored at the reservation point identified in the information received from the user device 200.

In operation 4411, the server 300 (eg, the processor 3740) of the intelligent recyclables collection system according to an embodiment of the present invention receives, in operation 4409, the storage quantity actually received at the reservation point and the user device 200. You can compare the reservation quantity confirmed from the information provided.

In operation 4413, the server 300 (eg, the processor 3740) of the intelligent recyclables collection system according to an embodiment of the present invention performs storage at the reservation point based on the fact that the storage quantity at the reservation point is less than the reservation quantity. It is possible to check whether the quantity is included in the error range of the reserved quantity.

In operation 4415, the server 300 (eg, the processor 3740) of the intelligent recycling collection system according to an embodiment of the present invention, based on the storage quantity at the reservation point does not exceed the error range of the reserved quantity , a warning message may be transmitted to the user device 200, and the number of warnings of the user device 200 may be increased by one.

In operation 4417, the server 300 (eg, the processor 3740) of the intelligent recycling collection system according to an embodiment of the present invention, based on the storage quantity at the reservation point exceeding the error range of the reserved quantity, It may be checked whether the cumulative number of warnings corresponding to the user device 200 exceeds the allowable number of warnings.

In operation 4419, the server 300 (eg, the processor 3740) of the intelligent recycling collection system according to an embodiment of the present invention is based on the cumulative number of warnings corresponding to the user device 200 being equal to or less than the permitted number of warnings. Thus, a warning message may be transmitted to the user device 200, the number of warnings of the user device 200 may be increased by one, and the user device 200 may be added to the black list.

In operation 4421, the server 300 (eg, the processor 3740) of the intelligent recyclables collection system according to an embodiment of the present invention determines that the number of accumulated warnings corresponding to the user device 200 determines the permitted number of warnings in operation 4417. Based on the exceeding, the user device 200 may be added to the red list and the reservation request from the user device 200 may be ignored for a certain period of time.

In operation 4423, in the server 300 (eg, the processor 3740) of the intelligent recycling collection system according to an embodiment of the present invention, the reserved quantity identified in the information received from the user device 200 exceeds the allowable number. Based on this, it is possible to count the storage quantity actually stored at the reservation point identified in the information received from the user device 200 .

In operation 4425, the server 300 (eg, the processor 3740) of the intelligent recyclables collection system according to an embodiment of the present invention receives, in operation 4423, the storage quantity actually received at the reservation point and the user device 200. You can compare the reservation quantity confirmed from the information provided.

In operation 4427, the server 300 (eg, the processor 3740) of the intelligent recyclables collection system according to an embodiment of the present invention, based on the fact that the storage quantity at the reservation point is less than the reservation quantity in operation 4425, the reservation point It is possible to check whether the storage quantity in is included in the error range of the reservation quantity.

In operation 4429, the server 300 (for example, the processor 3740) of the intelligent recycling collection system according to an embodiment of the present invention determines in operation 4427 that the storage quantity at the reservation point does not exceed the error range of the reservation quantity. Based on this, a warning message may be transmitted to the user device 200 and the number of warnings of the user device 200 may be increased once.

In operation 4421, the server 300 (for example, the processor 3740) of the intelligent recyclables collection system according to an embodiment of the present invention, in operation 4427, determines that the storage quantity at the reservation point exceeds the error range of the reservation quantity. Based on this, the user device 200 may be added to the red list, and a reservation request from the user device 200 may be ignored for a certain period of time.

45 is a flowchart of an operation of an intelligent recyclables collection device according to an embodiment of the present invention.

Referring to FIG. 45 , in operation 4501, the intelligent recycling collection device 100 (eg, the processor 440) may display a login screen on the display 450 according to an embodiment of the present invention. The login screen may be a screen for a user of the intelligent recycling collection device 100 to input his or her user information.

In operation 4503, according to an embodiment of the present invention, the intelligent recycling collection device 100 (eg, the processor 440), through the log-in screen displayed on the display 450, user information (eg, mobile phone number, ID) , or fingerprint information) may be obtained.

In operation 4505, according to an embodiment of the present invention, the intelligent recycling collection device 100 (eg, the processor 440) determines the user corresponding to the acquired user information (eg, mobile phone number, ID, or fingerprint information). Points can be accumulated for collecting recyclables (e.g., to the user's ID).

46 is a flowchart of an operation of an intelligent recyclables collection device according to an embodiment of the present invention.

Referring to FIG. 46 , in operation 4601, according to an embodiment of the present invention, the intelligent recycling collection device 100 (eg, the processor 440) may start a recycling collection operation without obtaining user information. there is. For example, when the user clicks a button requesting the start of a recycling collection operation without inputting user information, the recycling collection operation may start without obtaining user information.

In operation 4603, according to an embodiment of the present invention, the intelligent recyclables collection device 100 (eg, the processor 440), based on the start of the recyclables collection operation in a state in which user information is not obtained, intelligent recyclables A camera (eg, the camera 190 in FIG. 1A ) that captures the surroundings of the collection device 100 is activated, and a screen indicating that the camera (eg, the camera 190 in FIG. 1A ) is activated is displayed (eg, the camera 190 in FIG. 4 ). It can be displayed on the display 450 of.

In operation 4605, according to an embodiment of the present invention, the intelligent recycling collection device 100 (eg, the processor 440) stops the camera (eg, in FIG. An active state of the camera 190 may be continuously maintained.

According to an embodiment of the present invention, the intelligent recycling collection device 100, through the operation of FIG. 46, when an unauthorized user performs a recycling collection operation using the intelligent recycling collection device 100, It is possible to reduce power costs by preventing damage to the intelligent recycling collection device 100 by an inappropriate user and activating a camera (eg, the camera 190 of FIG. 1A ) only when necessary.

47 is a flowchart of an operation of an intelligent recyclables collection device according to an embodiment of the present invention.

Referring to FIG. 47 , in operation 4701, according to an embodiment of the present invention, the intelligent recyclables collection device 100 (eg, the processor 440) inserts objects into the input space within the sorting module 210. capacity can be checked. The input capacity of the object may be the volume of the object or the number of objects inserted by the user into the input space in the sorting module 210 .

In operation 4703, according to an embodiment of the present invention, the intelligent recycling collection device 100 (eg, the processor 440) sends a warning message through the display 450 based on the input capacity of the object exceeding the reference value. can be displayed.

48 is a diagram illustrating an intelligent recyclables collection system according to an embodiment of the present invention.

Referring to FIG. 48 , the intelligent recyclables collection system may include an intelligent recyclables collection device 100 , a user device 200 , a server 300 , and a pay-as-you-go bag changer 4850 .

Referring to FIG. 48 , a user 4800 may perform an operation of collecting recyclables using the intelligent recyclables collection device 100, and the operation of collecting recyclables has been described in the embodiments of the previous drawings.

The intelligent recyclables collection device 100 may transmit information about recyclables provided by the user 4800 to the server 300 based on the recyclables collection operation. The server 300 may provide points to the user 4800 based on the information received from the intelligent recycling collection device 100 . For example, the server 300 may provide points to an ID corresponding to the user 4800 . The user 4800 may check information on points provided to the user 4800 stored in the server 300 through the user device 200 . The user 4800 may exchange the points provided to the user 4800 with the volume-based envelope using the volume-based envelope changer 4850 . The user 4800 may donate the points paid to the user 4800 to a public institution using the user device 200 . The user 4800 may utilize the points provided to the user 4800 in various ways by accessing the point utilization platform provided by the server 300 using the user device 200 .

According to an embodiment of the present invention, the intelligent recycling collection device includes at least one camera and a processor, and the processor uses the at least one camera to provide an image of at least one object located in the sorting module. Obtaining and applying the image to an artificial intelligence model for determining the type of a specific object to determine the type of object corresponding to the at least one object in the image - the artificial intelligence model of a plurality of objects Learning based on data on shape, color, and size-, when the type of object is a transparent PET bottle for beverage, the motion of the sorting module is controlled to transfer the at least one object to a compression module connected to the first loading box. Control, and when the type of object is one of a non-beverage transparent PET bottle, an opaque PET bottle, or a general plastic, it may be set to control the movement of the sorting module to deliver the at least one object to the second loading box.

According to an embodiment of the present invention, the processor further uses an algorithm for text recognition to recognize text of a label attached to the at least one object from the image, and the text is a predetermined number of times. When corresponding to 1 text, the type of the object is determined as the transparent PET bottle for beverage, and when the text corresponds to a predetermined second text, the type of the object is set to be determined as the transparent PET bottle for non-beverage. can

According to an embodiment of the present invention, the intelligent recycling collection device further comprises a communication circuit, wherein the processor identifies a user of the intelligent recycling collection device, and the intelligent recycling collection device identifies the user of the object attached to the at least one object from the image. Checking the degree of attachment of the label, determining a grade corresponding to the at least one object based on the degree of attachment of the label, and transmitting data on the determined grade and data on the user through the communication circuit. It can be set to transmit to an external server.

According to an embodiment of the present invention, the processor further uses an algorithm for recognizing a cover of an object, recognizes a shape of a cover of the at least one object from the image, and determines that the shape of the cover is When corresponding to the first cover that is predetermined, the type of the object is determined as the transparent PET bottle for beverage, and when the shape of the cover corresponds to the second cover that is predetermined, the type of the object is determined as the transparent PET bottle for non-beverage. can be set to determine

According to one embodiment of the present invention, the processor recognizes a shape of a snout portion of the at least one object from the image, and when the shape of the snout portion corresponds to a predetermined first snout, the type of the object is determined as the transparent PET bottle for beverages, and when the shape of the spout portion corresponds to the predetermined second spout, it may be set to determine the type of the object as the transparent PET bottle for non-beverage.

According to an embodiment of the present invention, the processor identifies the user of the intelligent recycling collection device, determines whether a cover of the at least one object is present from the image, and based on whether the cover exists, A grade corresponding to the at least one object may be determined, and data on the determined grade and data on the user may be transmitted to an external server through the communication circuit.

According to an embodiment of the present invention, the processor, when the shape of the at least one object in the image corresponds to a first predetermined shape, determines the type of the object as the transparent PET bottle for beverage, and the image When the shape of the at least one object within corresponds to a predetermined second shape, the type of the object may be set to determine the non-beverage transparent PET bottle.

According to an embodiment of the present invention, the intelligent recycling collection device further includes a sensor module, and the processor determines the material of the at least one object using an IR-UWB radar or a near-infrared sensor included in the sensor module. and control movement of the sorting module to transfer the at least one object to a loading box corresponding to the material of the at least one object.

According to an embodiment of the present invention, the intelligent recycling collection device further includes a display, and the processor detects a foreign substance from the at least one object or when the object type of the at least one object is a personal item. , It may be set to generate a signal for opening the inlet of the intelligent recyclables collection device while outputting a message about the collection of the at least one object through the display.

According to an embodiment of the present invention, the processor may determine that the type of object of the first object among the at least one object is the transparent PET bottle for beverage, and the type of object of the second object among the at least one object is the non-transparent PET bottle. In the case of one of the transparent PET bottle for beverage, the opaque PET bottle, or the general plastic, to generate a signal for opening the input unit of the intelligent recycling collection device while outputting a message about the collection of the at least one object through the display can be set.

According to one embodiment of the present invention, the processor may be configured to control the movement of the sorting module to transfer the at least one object to a third loading box when the type of the object is an article requiring loading.

According to an embodiment of the present invention, the intelligent recycling collection device further includes a sensor module, and the processor uses an infrared sensor included in the sensor module to determine the loading amount of the first loading box and/or the second loading box. To determine the loading amount of the first loading box and based on the loading amount of the first loading box and / or the loading amount of the second loading box, to generate a signal for adjusting the maximum loading capacity of the first loading box and / or the second loading box can be set.

According to one embodiment of the present invention, the signal for adjusting the maximum load capacity is the movement of the first shield between the first load box and the sub load box or the second shield between the second load box and the sub load box It may be a signal for control.

According to an embodiment of the present invention, a method of operating an intelligent recycling collection device includes obtaining an image of at least one object located in a sorting module using at least one camera of the intelligent recycling collection device; determining the type of object corresponding to the at least one object in the image by applying the image to an artificial intelligence model for determining the type of a specific object; , and learned based on data about the size-, when the type of object is a transparent PET bottle for beverage, controlling the movement of the sorting module to transfer the at least one object to the compression module connected to the first loading box. And, if the type of the object is one of a non-beverage transparent PET bottle, an opaque PET bottle, or a general plastic, an operation of controlling a movement of the sorting module to transfer the at least one object to a second loading box. .

According to an embodiment of the present invention, the operation method of the intelligent recycling collection device further uses an algorithm for text recognition to recognize the text of a label attached to the at least one object from the image. And, if the text corresponds to the first predetermined text, determining the type of the object as the transparent PET bottle for beverage, and when the text corresponds to the second predetermined text, the type of the object It may include an operation to determine a non-beverage transparent PET bottle.

According to an embodiment of the present invention, the operating method of the intelligent recycling collection device includes an operation of identifying a user of the intelligent recycling collection device, and checking the degree of attachment of the label attached to the at least one object from the image. an operation of determining a grade corresponding to the at least one object based on the attachment degree of the label, and an operation of determining a grade corresponding to the at least one object through a communication circuit of the intelligent recycling collection device, and providing data on the determined grade and the user. It may include an operation of transmitting data about the data to an external server.

According to an embodiment of the present invention, the operating method of the intelligent recycling collection device further includes recognizing the shape of the cover of the at least one object from the image by further using an algorithm for recognizing the cover of the object; When the shape of the cover corresponds to a predetermined first cover, an operation of determining the type of the object as the transparent PET bottle for beverage, and when the shape of the cover corresponds to a predetermined second cover, the type of the object It may include an operation of determining the non-beverage transparent PET bottle.

According to one embodiment of the present invention, the operating method of the intelligent recycling collection device, the operation of recognizing the shape of the spout portion of the at least one object from the image, the shape of the spout portion to a first spout predetermined In case of correspondence, an operation of determining the type of the object as the transparent PET bottle for beverage, and determining the type of the object as the transparent PET bottle for non-beverage when the shape of the spout corresponds to a predetermined second spout Actions may be included.

According to an embodiment of the present invention, the operating method of the intelligent recycling collection device includes an operation of identifying a user of the intelligent recycling collection device and an operation of determining whether a cover of the at least one object exists from the image. and determining a grade corresponding to the at least one object based on whether the cover exists, and transmitting data on the determined grade and data on the user to an external server through the communication circuit. action may be included.

According to an embodiment of the present invention, the operation method of the intelligent recycling collection device, when the shape of the at least one object in the image corresponds to a predetermined first shape, the type of the object is the transparent PET bottle for beverage and, when the shape of the at least one object in the image corresponds to a predetermined second shape, an operation of determining the type of the object as the non-beverage transparent PET bottle.

According to an embodiment of the present invention, the operating method of the intelligent recycling collection device includes identifying the material of the at least one object using an IR-UWB radar or a near-infrared ray sensor included in a sensor module of the intelligent recycling collection device. and an operation of controlling a movement of the sorting module to deliver the at least one object to a loading box corresponding to the material of the at least one object.

According to an embodiment of the present invention, the method of operating the intelligent recycling collection device may include detecting a foreign substance from the at least one object or when the object type of the at least one object is a personal item, the intelligent recycling collection device It may include an operation of generating a signal for opening an input unit of the intelligent recycling collection device while outputting a message about the collection of the at least one object through a display of the.

According to one embodiment of the present invention, the operating method of the intelligent recycling collection device, the type of the object of the first object of the at least one object is the transparent PET bottle for beverage, the second object of the at least one object When the type of object is one of the non-beverage transparent PET bottle, the opaque PET bottle, and the general plastic, the input unit of the intelligent recycling collection device is opened while outputting a message about the collection of the at least one object through the display. It may include an operation of generating a signal to do so.

According to an embodiment of the present invention, the operating method of the intelligent recycling collection device may include controlling the movement of the sorting module to deliver the at least one object to a third loading box when the type of object is an article requiring loading. Actions may be included.

According to an embodiment of the present invention, the operating method of the intelligent recycling collection device may include the loading amount of the first loading box and/or the loading amount of the second loading box by using an infrared sensor included in a sensor module of the intelligent recycling collection device. And based on the loading amount of the first loading box and / or the loading amount of the second loading box, generating a signal for adjusting the maximum loading capacity of the first loading box and / or the second loading box Actions may be included.

According to one embodiment of the present invention, the signal for adjusting the maximum load capacity is the movement of the first shield between the first load box and the sub load box or the second shield between the second load box and the sub load box It may be a signal for control.

According to an embodiment of the present invention, in a computer readable recording medium storing instructions configured to perform at least one operation by at least one processor of an intelligent recycling collection device, the at least one The operation of is an operation of acquiring an image of at least one object located in a sorting module using at least one camera of the intelligent recycling collection device, and applying the image to an artificial intelligence model for determining the type of a specific object. and determining the type of object corresponding to the at least one object in the image by application thereof, and the artificial intelligence model is learned based on data about the shape, color, and size of a plurality of objects, the When the type of object is a transparent PET bottle for beverage, controlling the movement of the sorting module to transfer the at least one object to a compression module connected to the first loading box, and the type of object is a transparent PET bottle for non-beverage, opaque In the case of PET bottles or general plastics, an operation of controlling a movement of the sorting module to transfer the at least one object to a second loading box may be included.

According to an embodiment of the present invention, in a computer readable recording medium storing instructions set to perform at least one operation by at least one processor of the intelligent recycling collection device, the at least One operation further includes an operation of recognizing text of a label attached to the at least one object from the image by further using an algorithm for text recognition, and when the text corresponds to a first predetermined text. , An operation of determining the type of the object as the transparent PET bottle for beverage, and an operation of determining the type of the object as the transparent PET bottle for non-beverage when the text corresponds to a predetermined second text. .

According to an embodiment of the present invention, in a computer readable recording medium storing instructions set to perform at least one operation by at least one processor of the intelligent recycling collection device, the at least One operation includes an operation of identifying the user of the intelligent recycling collection device, an operation of confirming the degree of attachment of the label attached to the at least one object from the image, and based on the degree of attachment of the label, An operation of determining a grade corresponding to the at least one object, and an operation of transmitting data on the determined grade and data on the user to an external server through a communication circuit of the intelligent recycling collection device. .

According to an embodiment of the present invention, in a computer readable recording medium storing instructions set to perform at least one operation by at least one processor of the intelligent recycling collection device, the at least One operation is an operation of recognizing the shape of the cover of the at least one object from the image by further using an algorithm for recognizing the cover of the object, and when the shape of the cover corresponds to a first predetermined cover. , An operation of determining the type of the object as the transparent PET bottle for beverages, and an operation of determining the type of the object as the transparent PET bottle for non-drinks when the shape of the cover corresponds to a predetermined second cover. can

According to an embodiment of the present invention, in a computer readable recording medium storing instructions set to perform at least one operation by at least one processor of the intelligent recycling collection device, the at least One operation is an operation of recognizing the shape of the spout of the at least one object from the image, and when the shape of the spout corresponds to a predetermined first spout, the type of the object is selected as the transparent PET bottle for beverage. And, when the shape of the spout portion corresponds to the predetermined second spout, an operation of determining the type of the object as the non-beverage transparent PET bottle may be included.

According to an embodiment of the present invention, in a computer readable recording medium storing instructions set to perform at least one operation by at least one processor of the intelligent recycling collection device, the at least One operation may include an operation of identifying a user of the intelligent recycling collection device, an operation of determining whether a cover of the at least one object is present from the image, and based on the presence or absence of the cover, the at least one operation It may include an operation of determining a class corresponding to the object of and an operation of transmitting data about the determined class and data about the user to an external server through the communication circuit.

According to an embodiment of the present invention, in a computer readable recording medium storing instructions set to perform at least one operation by at least one processor of the intelligent recycling collection device, the at least One operation is, when the shape of the at least one object in the image corresponds to a first predetermined shape, an operation of determining the type of the object as the transparent PET bottle for beverage, and the at least one object in the image When the shape of corresponds to the predetermined second shape, an operation of determining the type of the object as the non-beverage transparent PET bottle may be included.

According to an embodiment of the present invention, in a computer readable recording medium storing instructions set to perform at least one operation by at least one processor of the intelligent recycling collection device, the at least One operation includes an operation of identifying the material of the at least one object by using an IR-UWB radar or a near-infrared ray sensor included in a sensor module of the intelligent recycling collection device, and setting the at least one object to the at least one object. It may include an operation of controlling the movement of the sorting module to deliver to the loading box corresponding to the material of the material.

According to an embodiment of the present invention, in a computer readable recording medium storing instructions set to perform at least one operation by at least one processor of the intelligent recycling collection device, the at least One operation may include detecting a foreign substance from the at least one object or, if the object type of the at least one object is a personal item, a message about collecting the at least one object through the display of the intelligent recycling collection device. It may include an operation of generating a signal for opening the inlet of the intelligent recyclables collection device while outputting.

According to an embodiment of the present invention, in a computer readable recording medium storing instructions set to perform at least one operation by at least one processor of the intelligent recycling collection device, the at least In one operation, the type of object of the first object of the at least one object is the transparent PET bottle for beverage, and the type of object of the second object of the at least one object is the transparent PET bottle for non-drinking, the opaque PET bottle. , or, in the case of one of the general plastics, generating a signal for opening the input unit of the intelligent recycling collection device while outputting a message about the collection of the at least one object through the display.

According to an embodiment of the present invention, in a computer readable recording medium storing instructions set to perform at least one operation by at least one processor of the intelligent recycling collection device, the at least One operation may include an operation of controlling a movement of the sorting module to deliver the at least one object to a third loading box when the type of the object is an article requiring loading.

According to an embodiment of the present invention, in a computer readable recording medium storing instructions set to perform at least one operation by at least one processor of the intelligent recycling collection device, the at least One operation is an operation of checking the loading amount of the first loading box and / or the loading amount of the second loading box using an infrared sensor included in the sensor module of the intelligent recycling collection device, and the loading amount of the first loading box and / or based on the loading amount of the second loading box, an operation of generating a signal for adjusting the maximum loading capacity of the first loading box and / or the second loading box may be included.

According to one embodiment of the present invention, the signal for adjusting the maximum load capacity is the movement of the first shield between the first load box and the sub load box or the second shield between the second load box and the sub load box It may be a signal for control.

According to an embodiment of the present invention, an intelligent recycling collection device includes a sorting module divided into a plurality of rooms, a first camera disposed in front of the sorting module, and a second camera disposed on the upper surface of the sorting module. It includes a camera, a display, and a processor, wherein the processor uses a first image obtained through the first camera and a second image acquired through the second camera to display at least two images for each of the plurality of spaces. It is determined whether two objects exist, and when at least two objects do not exist in each of the plurality of spaces, the first image is applied to an artificial intelligence model for determining the type of a specific object, and the first Determining the type of object corresponding to at least one object in the image, wherein the artificial intelligence model is learned based on data on the shape, color, and size of a plurality of objects, and determining the type of object of the at least one object When the type is a transparent PET bottle for beverage, the at least one sensor data obtained through a third image obtained through the first camera or a foreign matter detection sensor corresponding to a space in which the at least one object is located is used. It can be set to determine whether a foreign substance is detected from one object.

According to an embodiment of the present invention, the foreign matter detection sensor may be a capacitive sensor.

According to one embodiment of the present invention, the intelligent recycling collection device may include a plurality of foreign matter detection sensors corresponding to each of a plurality of spaces.

According to an embodiment of the present invention, the sorting module is movable in at least one of forward/backward/left/right directions, and the processor performs the sorting according to the type of object corresponding to the at least one object. It may be configured to determine a location for the module to move to and a bottom of a space among the plurality of spaces to be opened at that location.

According to one embodiment of the present invention, the processor, when the type of object corresponding to the at least one object is a first-class sorting container, the sorting module is placed in a first loading box corresponding to the first-type sorting container. It may be set to move to a corresponding first position and generate a signal to open a first bottom surface of a first space to be opened at the first position among the plurality of spaces.

According to an embodiment of the present invention, the sorting module is rotatable within a predetermined angular range, and the processor determines an angle at which the sorting module will rotate according to the type of object corresponding to the at least one object and the plurality of It can be set to determine the side of the space to be opened at the angle among the spaces of .

According to one embodiment of the present invention, the processor, when the type of object corresponding to the at least one object is a first-class sorting container, the sorting module is placed in a first loading box corresponding to the first-type sorting container. It may be set to rotate at a corresponding first angle and generate a signal to open a first side of a first space to be opened at the first angle among the plurality of spaces.

According to an embodiment of the present invention, the sorting module is movable in at least one of forward/backward/left/right directions, the sorting module is rotatable within a predetermined angular range, and the processor comprises the at least one To determine an angle at which the sorting module will rotate, a position at which the sorting module will move, and a bottom surface and/or side surface of a space to be opened at the angle and at the position among the plurality of spaces, according to the type of object corresponding to the object of can be set.

According to an embodiment of the present invention, when at least two objects exist in one of the plurality of spaces, the processor outputs a message about the collection of items through the display while the intelligent recycling collection device It can be set to generate a signal for opening the inlet of.

According to one embodiment of the present invention, the processor, when at least two objects exist in one of the plurality of spaces, and the types of objects corresponding to the at least two objects are different from each other, the display generating a signal for opening the inlet of the intelligent recyclables collection device while outputting a message about the collection of items through the process, and at least two objects exist in one of the plurality of spaces, and all types of the objects are In the case of the same, it may be configured to control the sorting module to deliver the at least two objects to a loading box corresponding to the type of the objects.

According to an embodiment of the present invention, the intelligent recycling collection device further includes a sensor module, and the processor is set to check the loading amount of each of the plurality of spaces using an infrared sensor included in the sensor module. can

According to an embodiment of the present invention, the intelligent recycling collection device may further include a display, and the processor may be set to display the loading amount of each of the plurality of spaces through the display.

According to an embodiment of the present invention, the sorting module is movable in at least one of forward/backward/left/right directions, and the processor includes a first object existing in a first space among the plurality of spaces. Determines the type of object of and the type of object of the second object existing in the second space among the plurality of spaces, based on the type of object of the first object and the type of object of the second object, The selection module may be configured to determine the order of movement of the locations to be moved.

According to an embodiment of the present invention, the processor, based on the determined movement sequence, sets the sorting module to a first position corresponding to a first loading box corresponding to the object type of the first object and the second object. It can be set to generate a signal to move in the order of the second position corresponding to the second loading box corresponding to the type of object of the.

According to an embodiment of the present invention, a method of operating an intelligent recycling collection device includes a first image obtained through a first camera disposed in front of a sorting module of the intelligent recycling collection apparatus and a first image disposed on an upper surface of the sorting module. An operation of determining whether at least two objects exist in each of a plurality of spaces of the sorting module by using a second image obtained through a second camera, and at least two objects in each of the plurality of spaces. If does not exist, determining the type of object corresponding to at least one object in the first image by applying the first image to an artificial intelligence model for determining the type of a specific object; The intelligence model is learned based on data on the shape, color, and size of a plurality of objects-, when the object type of the at least one object is a transparent PET bottle for beverage, the third acquired through the first camera and detecting a foreign material from the at least one object based on at least one of an image or sensor data acquired through a foreign matter detection sensor of the intelligent recycling collection device corresponding to a space in which the at least one object is located. there is.

According to an embodiment of the present invention, the foreign matter detection sensor may be a capacitive sensor.

According to an embodiment of the present invention, the intelligent recyclables collection device may include a plurality of foreign matter detection sensors corresponding to each of a plurality of spaces.

According to an embodiment of the present invention, the sorting module is movable in at least one direction of forward/back/left/right, and the operating method of the intelligent recycling collection device includes an object corresponding to the at least one object. It may include an operation of determining a location to which the screening module is to move and a bottom of a space to be opened at the location among the plurality of spaces according to the type of the .

According to an embodiment of the present invention, the operating method of the intelligent recyclables collection device may include, when the type of object corresponding to the at least one object is a first-class sorting container, the sorting module is applied to the first-class sorting container. It may include an operation of moving to a first position corresponding to a corresponding first loading box and generating a signal to open a first bottom surface of a first space to be opened at the first position among the plurality of spaces. .

According to an embodiment of the present invention, the sorting module is rotatable within a predetermined angular range, and the method of operating the intelligent recyclables collection device includes the sorting module according to the type of object corresponding to the at least one object. An operation of determining an angle to rotate and a side of a space to be opened at the angle among the plurality of spaces may be included.

According to an embodiment of the present invention, the operating method of the intelligent recyclables collection device may include, when the type of object corresponding to the at least one object is a first-class sorting container, the sorting module is applied to the first-class sorting container. Rotating at a first angle corresponding to the corresponding first loading box, and generating a signal to open a first side of a first space to be opened at the first angle among the plurality of spaces.

According to an embodiment of the present invention, the sorting module is movable in at least one of forward/backward/left/right directions, the sorting module is rotatable within a predetermined angular range, and The operating method may include an angle at which the sorting module is to be rotated, a position at which the sorting module is to be moved, and a bottom surface of a space to be opened at the angle and the position among the plurality of spaces according to the type of object corresponding to the at least one object. and/or determining an aspect.

According to an embodiment of the present invention, the method of operating the intelligent recyclables collection device outputs a message about the collection of items through the display when at least two objects exist in one of the plurality of spaces. while generating a signal for opening the inlet of the intelligent recyclables collection device.

According to one embodiment of the present invention, the operating method of the intelligent recycling collection device, wherein at least two objects exist in one of the plurality of spaces, and the types of objects corresponding to the at least two objects are different from each other. If different, an operation of generating a signal for opening the input unit of the intelligent recycling collection device while outputting a message about the collection of items through the display, and at least two objects are present in one of the plurality of spaces and controlling the sorting module to transfer the at least two objects to a loading box corresponding to the type of objects when the types of the objects are all the same.

According to an embodiment of the present invention, the intelligent recycling collection device includes a sensor module, and the operating method of the intelligent recycling collection device includes a load capacity of each of the plurality of spaces by using an infrared sensor included in the sensor module. It may include an operation to check.

According to an embodiment of the present invention, the intelligent recycling collection device includes a display, and the operating method of the intelligent recycling collection device includes an operation of displaying the loading amount of each of the plurality of spaces through the display. can

According to an embodiment of the present invention, the sorting module is movable in at least one of forward/backward/left/right directions, and the operating method of the intelligent recycling collection device includes a first space among the plurality of spaces. An operation of determining the object type of a first object existing in the space and the object type of a second object existing in a second space among the plurality of spaces, and the object type of the first object and the second object An operation of determining a movement sequence of locations to which the screening module is to move may be performed based on the type of object of .

According to an embodiment of the present invention, the operating method of the intelligent recycling collection device may include, based on the determined moving order, the sorting module to the first loading box corresponding to the object type of the first object. It may include an operation of generating a signal to move in order of a second position corresponding to a position and a second loading box corresponding to the type of the object of the second object.

According to an embodiment of the present invention, in a computer readable recording medium storing instructions set to perform at least one operation by at least one processor of the intelligent recycling collection device, the at least One operation is to use a first image obtained through a first camera disposed in front of the sorting module of the intelligent recycling collection device and a second image obtained through a second camera disposed on the upper surface of the sorting module. , an operation of determining whether at least two objects exist in each of a plurality of spaces of the screening module, and when at least two objects do not exist in each of the plurality of spaces, the first image is converted to a specific object An operation of determining the type of an object corresponding to at least one object in the first image by applying an artificial intelligence model for determining the type of -the artificial intelligence model is the shape, color, and size of a plurality of objects Learned based on data about -, when the object type of the at least one object is a transparent PET bottle for beverage, corresponds to a third image acquired through the first camera or a space where the at least one object is located and detecting a foreign substance from the at least one object based on at least one of sensor data acquired through a foreign substance detection sensor of the intelligent recycling collection device.

According to an embodiment of the present invention, the foreign matter detection sensor may be a capacitive sensor.

According to an embodiment of the present invention, the intelligent recyclables collection device may include a plurality of foreign matter detection sensors corresponding to each of a plurality of spaces.

According to an embodiment of the present invention, the sorting module is movable in at least one direction of forward/backward/left/right, and the at least one operation depends on the type of object corresponding to the at least one object. According to the method, a location to which the screening module will move and an operation of determining a bottom of a space to be opened at the location among the plurality of spaces may be included.

According to an embodiment of the present invention, in the at least one operation, when the type of the object corresponding to the at least one object is a first-class sorting container, the sorting module is set to a second sorting container corresponding to the first-type sorting container. It may include moving to a first position corresponding to one loading box and generating a signal to open a first bottom surface of a first space to be opened at the first position among the plurality of spaces.

According to one embodiment of the present invention, the sorting module is rotatable within a predetermined angular range, and the at least one operation is an angle at which the sorting module rotates according to the type of object corresponding to the at least one object. and determining a side of a space to be opened at the angle among the plurality of spaces.

According to an embodiment of the present invention, in the at least one operation, when the type of the object corresponding to the at least one object is a first-class sorting container, the sorting module is set to a second sorting container corresponding to the first-type sorting container. It may include generating a signal to rotate at a first angle corresponding to one loading box and to open a first side of a first space to be opened at the first angle among the plurality of spaces.

According to an embodiment of the present invention, the sorting module is movable in at least one of forward/backward/left/right directions, the sorting module is rotatable within a predetermined angular range, and the at least one operation comprises: , the angle at which the sorting module will rotate according to the type of object corresponding to the at least one object, the position to which the sorting module will move, and the bottom surface of the space to be opened at the angle and the position among the plurality of spaces, and/or It may include an operation to determine the aspect.

According to an embodiment of the present invention, the at least one operation may include outputting a message regarding the collection of an item through the display when at least two objects exist in one of the plurality of spaces, and the intelligent An operation of generating a signal for opening the inlet of the recyclables collection device may be included.

According to an embodiment of the present invention, in the at least one operation, when at least two objects exist in one of the plurality of spaces, and the types of objects corresponding to the at least two objects are different from each other, An operation of generating a signal for opening an input unit of the intelligent recyclables collection device while outputting a message about the collection of items through the display, and at least two objects exist in one of the plurality of spaces, When the types of objects are all the same, an operation of controlling the sorting module to deliver the at least two objects to a loading box corresponding to the type of objects may be included.

According to an embodiment of the present invention, the intelligent recycling collection device includes a sensor module, and the at least one operation is to check the loading amount of each of the plurality of spaces using an infrared sensor included in the sensor module. Actions may be included.

According to one embodiment of the present invention, the intelligent recycling collection device may include a display, and the at least one operation may include an operation of displaying the loading amount of each of the plurality of spaces through the display.

According to an embodiment of the present invention, the sorting module is movable in at least one direction of forward/backward/left/right, and the at least one operation is performed in a first space among the plurality of spaces. An operation of determining the type of an object of a first object and the type of an object of a second object existing in a second space among the plurality of spaces; Based on the type, the selection module may include an operation of determining a movement order of locations to be moved.

According to an embodiment of the present invention, the at least one operation may, based on the determined movement sequence, move the sorting module to a first position corresponding to a first loading box corresponding to an object type of the first object and to the first position corresponding to the first loading box. An operation of generating a signal causing the second object to move in the order of a second position corresponding to a second loading box corresponding to the type of the object.

According to an embodiment of the present invention, a server includes a communication circuit and a processor, wherein the processor sets a first collection target value of a first vehicle equipped with at least one first intelligent recycling collection device; setting a first collection route of the first vehicle based on the set first collection target value, wherein the first collection route includes a plurality of first points; It is confirmed that the vehicle has arrived at at least one point among the plurality of first points of the first collection route, and, via the communication circuit, at the at least one point, the at least one first point of the first vehicle is confirmed. The first loading amount of the intelligent recycling collection devices is checked, and the collection route of the first vehicle is changed from the first collection route to a first corrected route based on the checked first loading amount being greater than or equal to the first collection target value. can be set to

According to an embodiment of the present invention, the processor may be set so that the first vehicle maintains a collection route as the first collection route based on the checked first loading amount being less than the first collection target value. there is.

According to an embodiment of the present invention, the processor sets a second collection target value of a second vehicle equipped with at least one second intelligent recycling collection device, and based on the set second collection target value, setting a second collection route of a second vehicle, wherein the second collection route includes a plurality of second points, and based on the plurality of first points and the plurality of second points, the first vehicle and selecting an intersection of the second vehicle, confirming through the communication circuit that the second vehicle has arrived at the intersection, and transmitting a standby signal through the communication circuit so that the second vehicle waits at the intersection. It can be set to transmit to a second vehicle.

According to an embodiment of the present invention, the processor determines, via the communication circuitry, that the first vehicle has arrived at the intersection, and via the communication circuitry, at the intersection, the at least one vehicle of the first vehicle The first loading amount of the first intelligent recycling collection devices of the first vehicle is checked, and based on the checked first loading amount being greater than or equal to the first collection target value, the collection route of the first vehicle is changed from the first collection route to the first loading amount. 1 modified route, and the collection route of the second vehicle is set to change from the second collection route to the second modified route, and the second modified route is included in the first collection route of the first vehicle. and includes at least one point not included in the first modified route.

According to one embodiment of the present invention, the processor, as at least part of the operation of transmitting the waiting signal to the second vehicle, via the communication circuit, at the junction, the at least one second vehicle of the second vehicle. 2 check the second loading amount of the intelligent recyclables collection devices, and, based on the checked second loading amount being less than the second collection target value, the standby signal to cause the second vehicle to wait at the intersection through the communication circuit; may be set to transmit to the second vehicle.

According to an embodiment of the present invention, the processor obtains load data of each of the plurality of first points through the communication circuit, and based on the load data of each of the plurality of first points, the plurality of first points calculates a loading ratio of each first point of the at least one point, calculates a loading ratio of the at least one first intelligent recycling collection device of the first vehicle based on the first loading amount at the at least one point, and It may be set to determine whether to modify the collection route of the first vehicle based on the loading ratio of at least one first intelligent recycling collection device and the loading ratio of each of the plurality of first points.

According to an embodiment of the present invention, the processor receives information on a reservation point, a reservation quantity, and a reservation time from at least one user device through the communication circuit, and the information received from the at least one user device The first collection target value and the first collection route may be set based on information about the reservation point, the reservation quantity, and the reservation time.

According to an embodiment of the present invention, the processor receives information on an additional reservation point, an additional reservation quantity, and an additional reservation time from the at least one user device through the communication circuit, and the at least one user device Based on the information about the additional reservation point, the additional reservation quantity, and the additional reservation time received from, the reservation quantity at at least one first additional point not included in the first collection route is determined, and the at least one based on that the reserved quantity at one first additional point is equal to or greater than the reference quantity, changing the collection route of the first vehicle from the first collection route to a third modified route, the third modified route being the at least one modified route; wherein the first vehicle is set to maintain a collection route as the first collection route based on the reserved quantity at the at least one first additional branch being less than the reference quantity. can

According to one embodiment of the present invention, the processor sets an error range and an allowable number of warnings, counts the quantity loaded at the reservation point included in the first collection route, and converts the counted quantity to the reservation quantity. and, based on the fact that the counted quantity is less than the reserved quantity, it is determined whether the counted quantity is included in the error range of the reserved quantity, and the counted quantity exceeds the error range of the reserved quantity. Based on not exceeding, it may be configured to send a warning message to the at least one user device and increase the number of warnings of the at least one user device by one.

According to an embodiment of the present invention, the processor determines that the cumulative number of warnings corresponding to the at least one user device sets the permitted number of warnings based on the counted quantity exceeding the error range of the reserved quantity. determining whether the number of warnings exceeds the number of warnings corresponding to the at least one user device is equal to or less than the allowable number of warnings, sending a warning message to the at least one user device, and warning the at least one user device. It may be set to increase the number of times by one and add the at least one user device to a black list.

According to an embodiment of the present invention, the processor adds the at least one user device to a red list based on the number of warnings corresponding to the at least one user device exceeding the allowed number of warnings; It may be set to ignore a reservation request from the at least one user device for a certain period of time.

According to an embodiment of the present invention, the processor sets an allowable number, an error range, and an allowable number of warnings, and the reservation included in the first collection route is based on the reservation quantity exceeding the allowable number. The quantity to be loaded at the branch is counted, the counted quantity is compared with the reserved quantity, and based on the counted quantity being less than the reserved quantity, whether the counted quantity is included in the error range of the reserved quantity and, based on the fact that the counted quantity does not exceed the error range of the reserved quantity, a warning message is sent to the at least one user device, and the number of warnings of the at least one user device is increased by one. can be set to do so.

According to an embodiment of the present invention, the processor adds the at least one user device to a red list based on the counted quantity exceeding the error range of the reserved quantity, and the at least one user device is added to the red list for a certain period of time. It can be configured to ignore reservation requests from one user device.

According to an embodiment of the present invention, a method of operating a server includes an operation of setting a first collection target value of a first vehicle equipped with at least one first intelligent recyclables collection device; Based on this, an operation of setting a first collection route of the first vehicle, wherein the first collection route includes a plurality of first points, and the first vehicle, through a communication circuit of the server, an operation of confirming arrival at at least one point among the plurality of first points of a first collection route; and, through the communication circuit, at the at least one point, the at least one first intelligent recyclable item of the first vehicle. An operation of checking the first loading amount of collection devices, and changing the collection route of the first vehicle from the first collection route to a first corrected route based on the checked first loading amount being greater than or equal to the first collection target value. action may be included.

According to an embodiment of the present invention, the operating method of the server may include maintaining a collection route of the first vehicle as the first collection route based on the checked first load amount being less than the first collection target value. Actions may be included.

According to an embodiment of the present invention, the operating method of the server may include setting a second collection target value of a second vehicle equipped with at least one second intelligent recycling collection device, and the set second collection target value. An operation of setting a second collection route of the second vehicle based on, wherein the second collection route includes a plurality of second points, the plurality of first points and the plurality of second points An operation of selecting an intersection between the first vehicle and the second vehicle, an operation of confirming that the second vehicle has arrived at the intersection through the communication circuit, and an operation of selecting the intersection of the first vehicle and the second vehicle based on and transmitting a waiting signal to the second vehicle so that the second vehicle waits at the intersection.

According to an embodiment of the present invention, the operating method of the server includes an operation of confirming, through the communication circuit, that the first vehicle has arrived at the intersection; and, through the communication circuit, at the intersection, the first vehicle An operation of checking the first loading amount of the at least one first intelligent recycling collection devices of a vehicle, and based on the checked first loading amount being greater than or equal to the first collection target value, the collection route of the first vehicle is set as the above. an operation of changing from a first collection route to the first modified route; and an operation of changing a collection route of the second vehicle from the second collection route to a second modified route, wherein the second modified route comprises: It may include at least one point included in the first collection route of the first vehicle and not included in the first modified route.

According to an embodiment of the present invention, the operation of transmitting the standby signal to the second vehicle may include, at the intersection, the at least one second intelligent recycling collection device of the second vehicle through the communication circuit. 2 An operation of checking a load amount, and based on that the checked second load amount is less than the second collection target value, the standby signal is transmitted through the communication circuit so that the second vehicle waits at the intersection. It may include an operation of transmitting to.

According to an embodiment of the present invention, the operating method of the server includes: acquiring load data of each of the plurality of first points through the communication circuit; Based on the operation of calculating the loading ratio of each of the plurality of first points, and based on the first loading amount at the at least one point, the at least one first intelligent recycling collection devices of the first vehicle an operation of calculating a loading ratio, and whether to modify a collection route of the first vehicle based on the loading ratio of the at least one first intelligent recycling collection device and the loading ratio of each of the plurality of first points; It may include a decision-making action.

According to an embodiment of the present invention, the method of operating the server includes receiving information on a reservation point, a reservation quantity, and a reservation time from at least one user device through the communication circuit, and the at least one user and setting the first collection target value and the first collection route based on information about the reservation point, the reservation quantity, and the reservation time received from the device.

According to an embodiment of the present invention, the operating method of the server may include receiving information on an additional reservation point, an additional reservation quantity, and an additional reservation time from the at least one user device through the communication circuit; Based on the information about the additional reservation point, the additional reservation quantity, and the additional reservation time received from at least one user device, the reservation quantity at at least one first additional point not included in the first collection route is determined. Checking, and based on the fact that the reserved quantity at the at least one first additional point is equal to or greater than the reference quantity, changing the collection route of the first vehicle from the first collection route to a third corrected route; The third modified route includes the at least one first additional point, and the first vehicle determines the collection route based on that the reservation quantity at the at least one first additional point is less than the reference quantity. It may include an operation of maintaining the first collection route.

According to an embodiment of the present invention, the operating method of the server includes an operation of setting an error range and an allowable number of warnings, an operation of counting a quantity loaded at the reservation point included in the first collection route, and the Comparing the counted quantity with the reserved quantity, and based on the fact that the counted quantity is less than the reserved quantity, determining whether the counted quantity is included in the error range of the reserved quantity; and transmitting a warning message to the at least one user device, and increasing the number of warnings of the at least one user device by once, based on the fact that the reserved quantity does not exceed the error range of the reserved quantity. there is.

According to an embodiment of the present invention, the operating method of the server, based on the counted quantity exceeding the error range of the reserved quantity, the cumulative number of warnings corresponding to the at least one user device is the warning determining whether the number of allowed warnings is exceeded; and based on the fact that the number of warnings corresponding to the at least one user device is less than or equal to the permitted number of warnings, sending a warning message to the at least one user device, and increasing the warning count of the user device of the user device by one time and adding the at least one user device to a black list.

According to an embodiment of the present invention, the operating method of the server may include adding the at least one user device to a red list based on the number of warnings corresponding to the at least one user device exceeding the permitted number of warnings. In addition, an operation of ignoring a reservation request from the at least one user device for a certain period of time may be included.

According to an embodiment of the present invention, the method of operating the server may include setting an allowable number, an error range, and an allowable number of warnings, and the first collection route based on the reserved quantity exceeding the allowable number. An operation of counting the quantity loaded at the reservation point included in, an operation of comparing the counted quantity with the reservation quantity, and based on the fact that the counted quantity is less than the reservation quantity, the counted quantity is the reservation An operation of checking whether the quantity is included in the error range, and based on the counted quantity not exceeding the error range of the reserved quantity, transmitting a warning message to the at least one user device, and the at least one user device. An operation of increasing the number of warnings of one user device by one time may be included.

According to an embodiment of the present invention, the operating method of the server may include adding the at least one user device to a red list based on the counted quantity exceeding the error range of the reserved quantity, and for a predetermined period of time. while ignoring the reservation request from the at least one user device.

According to an embodiment of the present invention, in a computer readable recording medium storing instructions set to perform at least one operation by at least one processor of the intelligent recycling collection device, the at least One operation may include setting a first collection target value of a first vehicle equipped with at least one first intelligent recyclables collection device, and based on the set first collection target value, a first collection target value of the first vehicle. An operation of setting a collection route, wherein the first collection route includes a plurality of first points, and the first vehicle, through a communication circuit of the server, operates the plurality of first points of the first collection route. An operation of confirming arrival at at least one of the points, and an operation of confirming, through the communication circuit, a first loading amount of the at least one first intelligent recycling collection devices of the first vehicle at the at least one point. and changing the collection route of the first vehicle from the first collection route to a first modified route based on the checked first loading amount equal to or greater than the first collection target value.

According to an embodiment of the present invention, the at least one operation may include maintaining the first vehicle collection route as the first collection route based on the checked first load amount being less than the first collection target value. Actions may be included.

According to an embodiment of the present invention, the at least one operation may include setting a second collection target value of a second vehicle equipped with at least one second intelligent recycling collection device, and the set second collection target value. An operation of setting a second collection route of the second vehicle based on, wherein the second collection route includes a plurality of second points, the plurality of first points and the plurality of second points An operation of selecting an intersection between the first vehicle and the second vehicle, an operation of confirming that the second vehicle has arrived at the intersection through the communication circuit, and an operation of selecting the intersection of the first vehicle and the second vehicle based on and transmitting a waiting signal to the second vehicle so that the second vehicle waits at the intersection.

According to an embodiment of the present invention, the at least one operation may include an operation of confirming, through the communication circuit, that the first vehicle has arrived at the intersection, and, through the communication circuit, at the intersection, the first vehicle An operation of checking the first loading amount of the at least one first intelligent recycling collection devices of a vehicle, and based on the checked first loading amount being greater than or equal to the first collection target value, the collection route of the first vehicle is set as the above. an operation of changing from a first collection route to the first modified route; and an operation of changing a collection route of the second vehicle from the second collection route to a second modified route, wherein the second modified route comprises: It may include at least one point included in the first collection route of the first vehicle and not included in the first modified route.

According to an embodiment of the present invention, the operation of transmitting the standby signal to the second vehicle may include, at the intersection, the at least one second intelligent recycling collection device of the second vehicle through the communication circuit. 2 An operation of checking a load amount, and based on that the checked second load amount is less than the second collection target value, the standby signal is transmitted through the communication circuit so that the second vehicle waits at the intersection. It may include an operation of transmitting to.

According to an embodiment of the present invention, the at least one operation may include an operation of acquiring load data of each of the plurality of first points through the communication circuit, and the load data of each of the plurality of first points Based on the operation of calculating the loading ratio of each of the plurality of first points, and based on the first loading amount at the at least one point, the at least one first intelligent recycling collection devices of the first vehicle an operation of calculating a loading ratio, and whether to modify a collection route of the first vehicle based on the loading ratio of the at least one first intelligent recycling collection device and the loading ratio of each of the plurality of first points; It may include a decision-making action.

According to an embodiment of the present invention, the at least one operation may include receiving information on a reservation point, a reservation quantity, and a reservation time from at least one user device through the communication circuit, and the at least one user and setting the first collection target value and the first collection route based on information about the reservation point, the reservation quantity, and the reservation time received from the device.

According to an embodiment of the present invention, the at least one operation may include receiving information on an additional reservation point, an additional reservation quantity, and an additional reservation time from the at least one user device through the communication circuit; Based on the information about the additional reservation point, the additional reservation quantity, and the additional reservation time received from at least one user device, the reservation quantity at at least one first additional point not included in the first collection route is determined. Checking, and based on the fact that the reserved quantity at the at least one first additional point is equal to or greater than the reference quantity, changing the collection route of the first vehicle from the first collection route to a third corrected route; The third modified route includes the at least one first additional point, and the first vehicle determines the collection route based on that the reservation quantity at the at least one first additional point is less than the reference quantity. It may include an operation of maintaining the first collection route.

According to an embodiment of the present invention, the at least one operation may include an operation of setting an error range and an allowable number of warnings, an operation of counting a quantity loaded at the reservation point included in the first collection route, and Comparing the counted quantity with the reserved quantity, and based on the fact that the counted quantity is less than the reserved quantity, determining whether the counted quantity is included in the error range of the reserved quantity; and transmitting a warning message to the at least one user device, and increasing the number of warnings of the at least one user device by once, based on the fact that the reserved quantity does not exceed the error range of the reserved quantity. there is.

According to an embodiment of the present invention, in the at least one operation, the number of cumulative warnings corresponding to the at least one user device is set to the warning based on the counted quantity exceeding the error range of the reserved quantity. determining whether the number of allowed warnings is exceeded; and based on the fact that the number of warnings corresponding to the at least one user device is less than or equal to the permitted number of warnings, sending a warning message to the at least one user device, and increasing the warning count of the user device of the user device by one time and adding the at least one user device to a black list.

According to an embodiment of the present invention, in the at least one operation, the at least one user device is placed in the red list based on the number of warnings corresponding to the at least one user device exceeding the permitted number of warnings. In addition, an operation of ignoring a reservation request from the at least one user device for a certain period of time may be included.

According to an embodiment of the present invention, the at least one operation may include an operation of setting an allowable number, an error range, and an allowable number of warnings, and the first collection route based on the reservation quantity exceeding the allowable number. An operation of counting the quantity loaded at the reservation point included in, an operation of comparing the counted quantity with the reservation quantity, and based on the fact that the counted quantity is less than the reservation quantity, the counted quantity is the reservation An operation of checking whether the quantity is included in the error range, and based on the counted quantity not exceeding the error range of the reserved quantity, transmitting a warning message to the at least one user device, and the at least one user device. An operation of increasing the number of warnings of one user device by one time may be included.

According to an embodiment of the present invention, the at least one operation adds the at least one user device to a red list based on the counted quantity exceeding the error range of the reserved quantity, and for a predetermined period of time. while ignoring the reservation request from the at least one user device.

As described above, the preferred embodiments according to the present invention have been reviewed, and the fact that the present invention can be embodied in other specific forms without departing from the spirit or scope in addition to the above-described embodiments is a matter of ordinary knowledge in the art. It is self-evident to them. Therefore, the embodiments described above are to be regarded as illustrative rather than restrictive, and thus the present invention is not limited to the above description, but may vary within the scope of the appended claims and their equivalents. For example, the embodiments described above may not include some components, and may be implemented organically by applying the configurations of the embodiments by crossing each other.

Terms such as first, second, A, and B may be used to describe various components, but the components should not be limited by the terms. These terms are only used for the purpose of distinguishing one component from another. For example, a first element may be termed a second element, and similarly, a second element may be termed a first element, without departing from the scope of the present invention. The terms and/or include any combination of a plurality of related recited items or any of a plurality of related recited items.

It is understood that when an element is referred to as being "connected" or "connected" to another element, it may be directly connected or connected to the other element, but other elements may exist in the middle. It should be. On the other hand, when an element is referred to as “directly connected” or “directly connected” to another element, it should be understood that no other element exists in the middle.

Terms used in this application are only used to describe specific embodiments, and are not intended to limit the present invention. Singular expressions include plural expressions unless the context clearly dictates otherwise. In this application, the terms "include" or "have" are intended to designate that there is a feature, number, step, operation, component, part, or combination thereof described in the specification, but one or more other features It should be understood that the presence or addition of numbers, steps, operations, components, parts, or combinations thereof is not precluded.

Unless defined otherwise, all terms used herein, including technical or scientific terms, have the same meaning as commonly understood by one of ordinary skill in the art to which the present invention belongs. Terms such as those defined in commonly used dictionaries should be interpreted as having a meaning consistent with the meaning in the context of the related art, and unless explicitly defined in the present application, they should not be interpreted in an ideal or excessively formal meaning. don't

Claims (16)

In the intelligent recycling collection device,
A sorting module divided into a plurality of rooms, -the sorting module is movable in at least one of forward/backward/left/right directions-;
A first camera disposed on the front surface of the sorting module and a second camera disposed on the upper surface of the sorting module;
display, and
contains a processor;
the processor,
Determining whether or not at least two objects exist in each of the plurality of spaces using a first image obtained through the first camera and a second image obtained through the second camera;
When at least two objects do not exist in each of the plurality of spaces, based on output data output by inputting data on the first image to an artificial intelligence model for determining the type of a specific object, the first Determining the type of object corresponding to at least one object in the image - The artificial intelligence model based on data about the shape, color, and size of a plurality of objects, the output for determining the type of the specific object learned to output data-,
When the object type of the at least one object is a transparent PET bottle for beverage, the third image obtained through the first camera or the sensor data obtained through the foreign matter detection sensor corresponding to the space where the at least one object is located It is set to determine whether a foreign substance is detected from the at least one object based on at least one of
Set to determine a location to which the sorting module is to move and a bottom of a space to be opened at the location among the plurality of spaces according to the type of object corresponding to the at least one object,
Intelligent recycling collection device. According to claim 1,
The foreign matter detection sensor is a capacitive sensor,
Intelligent recycling collection device. According to claim 2,
The intelligent recycling collection device includes a plurality of foreign matter detection sensors corresponding to each of a plurality of spaces,
Intelligent recycling collection device. delete According to claim 1,
the processor,
When the type of object corresponding to the at least one object is a type 1 sorting container, the sorting module is moved to a first position corresponding to a first loading box corresponding to the type 1 sorting container, and the plurality of spaces Among them, set to generate a signal to open the first bottom surface of the first space to be opened at the first position,
Intelligent recycling collection device. According to claim 1,
The sorting module is rotatable within a predetermined angular range,
the processor,
Set to determine an angle at which the sorting module will rotate and a side of a space to be opened at the angle among the plurality of spaces according to the type of object corresponding to the at least one object,
Intelligent recycling collection device. According to claim 6,
the processor,
When the type of object corresponding to the at least one object is a first-class sorting container, the sorting module is rotated at a first angle corresponding to a first loading box corresponding to the first-type sorting container, and the plurality of spaces Set to generate a signal to open the first side of the first space to be opened at the first angle among them.
Intelligent recycling collection device. According to claim 7,
The sorting module is movable in at least one of forward/backward/left/right directions,
the processor,
An angle at which the sorting module will rotate, a position at which the sorting module will move, and a bottom surface and/or side surface of a space to be opened at the angle and at the position among the plurality of spaces according to the type of object corresponding to the at least one object. set to determine
Intelligent recycling collection device. According to claim 1,
the processor,
When at least two objects exist in one of the plurality of spaces, a message about the collection of the item is output through the display and a signal for opening the input unit of the intelligent recycling collection device is set to generate,
Intelligent recycling collection device. According to claim 1,
the processor,
When at least two objects exist in one of the plurality of spaces, and the types of objects corresponding to the at least two objects are different from each other, the intelligent recyclable item is displayed while outputting a message about collecting an item through the display. generating a signal for opening the inlet of the collection device;
When at least two objects exist in one of the plurality of spaces and the types of the objects are all the same, control the sorting module to deliver the at least two objects to a loading box corresponding to the type of the objects. set,
Intelligent recycling collection device. According to claim 1,
The intelligent recycling collection device further includes a sensor module,
the processor,
Set to check the loading amount of the loading box using the infrared sensor included in the sensor module,
Intelligent recycling collection device. According to claim 11,
The intelligent recycling collection device further includes a display,
the processor,
Through the display, set to display the loading amount of each of the plurality of spaces,
Intelligent recycling collection device. According to claim 1,
The sorting module is movable in at least one of forward/backward/left/right directions,
the processor,
determining an object type of a first object existing in a first space among the plurality of spaces and an object type of a second object existing in a second space among the plurality of spaces;
Based on the type of object of the first object and the type of object of the second object, the sorting module is set to determine a movement sequence of positions to move,
Intelligent recycling collection device. According to claim 13,
the processor,
Based on the determined movement sequence, the sorting module is set to a first position corresponding to the first loading box corresponding to the object type of the first object and a second loading box corresponding to the object type of the second object. configured to generate a signal to move in the order of the second position;
Intelligent recycling collection device. In the operating method of the intelligent recycling collection device,
Using a first image obtained through a first camera disposed in front of the sorting module of the intelligent recycling collection device and a second image obtained through a second camera disposed on the upper surface of the sorting module, An operation of determining whether or not at least two objects exist in each of a plurality of spaces, -The sorting module may move in at least one of forward/backward/left/right directions-;
When at least two objects do not exist in each of the plurality of spaces, based on output data output by inputting data on the first image to an artificial intelligence model for determining the type of a specific object, the first Determining the type of object corresponding to at least one object in the image; and - The artificial intelligence model determines the type of the specific object based on data about the shape, color, and size of a plurality of objects. learned to output the output data;
When the object type of the at least one object is a transparent PET bottle for beverage, the foreign matter detection sensor of the intelligent recycling collection device corresponding to the third image acquired through the first camera or the space where the at least one object is located An operation of detecting a foreign substance from the at least one object based on at least one of the sensor data obtained through;
Determining a position to which the sorting module is to move and a bottom of a space to be opened at the position among the plurality of spaces according to the type of object corresponding to the at least one object,
How the intelligent recycling collection device works. A computer readable recording medium storing instructions configured to perform at least one operation by at least one processor of an intelligent recycling collection device, wherein the at least one operation comprises:
Using a first image obtained through a first camera disposed in front of the sorting module of the intelligent recycling collection device and a second image obtained through a second camera disposed on the upper surface of the sorting module, An operation of determining whether or not at least two objects exist in each of a plurality of spaces, -The sorting module may move in at least one of forward/backward/left/right directions-;
When at least two objects do not exist in each of the plurality of spaces, based on output data output by inputting data on the first image to an artificial intelligence model for determining the type of a specific object, the first Determining the type of object corresponding to at least one object in the image; and - The artificial intelligence model determines the type of the specific object based on data about the shape, color, and size of a plurality of objects. learned to output the output data;
When the object type of the at least one object is a transparent PET bottle for beverage, the foreign matter detection sensor of the intelligent recycling collection device corresponding to the third image acquired through the first camera or the space where the at least one object is located An operation of detecting a foreign substance from the at least one object based on at least one of the sensor data obtained through;
Determining a position to which the sorting module is to move and a bottom of a space to be opened at the position among the plurality of spaces according to the type of object corresponding to the at least one object,
recording media.

Images