KR102522973B1 - Method and apparatus for waste disposal application - Google Patents

Abstract

The present disclosure relates to a method for facilitating the disposal of waste and a device for performing the method. According to some embodiments of the present disclosure, the waste disposal application method, as a method performed by a computing device, includes the steps of: obtaining user input for a target service according to a waste disposal type; classifying items of the target waste based on a target waste image captured using a camera module, wherein the camera module is a module for capturing the target waste for which the target service is required; and performing payment for the payment amount determined based on the item of the target waste.

Description

Waste treatment application method and its device {METHOD AND APPARATUS FOR WASTE DISPOSAL APPLICATION}

The present disclosure relates to a method for facilitating the disposal of waste and an apparatus in which the method is performed.

The demand for eco-friendliness is no longer an option, but a necessity. Various economic entities are generating wastes every moment, and these wastes need to be treated to meet the demand for eco-friendliness.

However, the system for handling waste treatment requests has remained in the old fashioned way, such as coordinating waste treatment schedules directly between users and their processors, even now that electronic commerce has become involved in most of human life.

Accordingly, there is a demand for a technology for easily assisting waste treatment applications and processing accordingly.

Korean Patent Publication No. 10-20170138718 (published on December 18, 2017)

A technical problem to be solved through some embodiments of the present disclosure is to provide a method for automating a waste treatment request and subsequent treatment, and an apparatus for performing the method.

Another technical problem to be solved through some embodiments of the present disclosure is to provide a method for automatically sorting items of waste and an apparatus for performing the method.

Another technical problem to be solved through some embodiments of the present disclosure is to provide a method for easily identifying different items of waste by region and a device for performing the method.

Another technical problem to be solved through some embodiments of the present disclosure is to provide a method for recommending a waste classification standard to an area where the classification standard of waste is insufficient, and an apparatus for performing the method.

The technical problems of the present disclosure are not limited to the above-mentioned technical problems, and other technical problems not mentioned will be clearly understood by those skilled in the art from the description below.

In order to solve the above technical problem, a product repeated purchase method according to some embodiments of the present disclosure is a method performed by a computing device, comprising: obtaining a user input for a target service according to a waste treatment type, a camera module Classifying items of the target waste on the basis of a target waste image photographed using - the camera module is a module for photographing the target waste for which the target service is required - and based on the item of the target waste and performing payment for the determined payment amount.

In some embodiments, obtaining the user input includes obtaining a user input for a processing area of the target waste, and classifying the item comprises a first item classification corresponding to the processing area. When an item of the target waste is not searched in the list, but an event in which an item of the target waste is searched in the second item classification list corresponding to an external area distinct from the processing area occurs, an external server corresponding to the processing area It may include transmitting the occurrence of the event to. Here, transmitting the occurrence of the event may include transmitting an item searched from the second item classification list together with the occurrence of the event.

In some embodiments, obtaining the user input includes obtaining a user input for a processing area of the target waste, and classifying the item comprises a first item classification corresponding to the processing area. The method may include simultaneously displaying, on one screen, a set of items of external regions corresponding to the first item included in the list.

In some embodiments, the step of classifying the items may include classifying the items of the target waste by using a waste classification model that has learned a correlation between a set of waste learning images and a set of items determined to correspond to the learning waste image set. steps may be included. Here, the step of classifying items of the target waste using the waste classification model includes displaying a standard number of items determined to correspond to the target waste and a user input selecting one of the standard number of items. Based on, it may include classifying items of the target waste. Also, here, the waste classification model may be a model that is updated by using a part selected from application images including the target waste image as the waste learning image set.

A waste treatment application apparatus according to some embodiments of the present disclosure includes a processor, a network interface, a memory, and a computer program loaded into the memory and executed by the processor, wherein the computer program includes a waste treatment type An instruction for obtaining a user input for a target service according to (instruction), an instruction for classifying items of the target waste based on a target waste image captured using a camera module of a user terminal - the camera module, the target It is a module for photographing the target waste for which the service is required - and may include an instruction for making a payment for the payment amount determined based on the item of the target waste.

1 illustrates an exemplary environment to which a waste treatment application device (ie, a waste treatment application server) according to some embodiments of the present disclosure may be applied.
2 is an exemplary sequence diagram illustrating a waste treatment application method according to some embodiments of the present disclosure.
FIG. 3 is an exemplary diagram illustrating the waste treatment application method described with reference to FIG. 2 .
4 and 5 are exemplary diagrams illustrating the target service described with reference to FIG. 2 .
6 depicts an example computing device on which devices and/or systems in accordance with various embodiments of the present disclosure may be implemented.

Hereinafter, preferred embodiments of the present disclosure will be described in detail with reference to the accompanying drawings. Advantages and features of the present disclosure, and methods of achieving them, will become clear with reference to the embodiments described below in detail in conjunction with the accompanying drawings. However, the technical idea of the present disclosure is not limited to the following embodiments and may be implemented in various different forms, and only the following embodiments complete the technical idea of the present disclosure, and in the technical field to which the present disclosure belongs. It is provided to completely inform those skilled in the art of the scope of the present disclosure, and the technical spirit of the present disclosure is only defined by the scope of the claims.

In adding reference numerals to components of each drawing, it should be noted that the same components have the same numerals as much as possible, even if they are displayed on different drawings. In addition, in describing the present disclosure, if it is determined that a detailed description of a related known configuration or function may obscure the gist of the present disclosure, the detailed description will be omitted.

Unless otherwise defined, all terms (including technical and scientific terms) used in this specification may be used with meanings commonly understood by those of ordinary skill in the art to which this disclosure belongs. In addition, terms defined in commonly used dictionaries are not interpreted ideally or excessively unless explicitly specifically defined. Terminology used herein is for describing the embodiments and is not intended to limit the present disclosure. In this specification, singular forms also include plural forms unless specifically stated otherwise in a phrase.

Also, terms such as first, second, A, B, (a), and (b) may be used in describing the components of the present disclosure. These terms are only used to distinguish the component from other components, and the nature, order, or order of the corresponding component is not limited by the term. When an element is described as being “connected,” “coupled to,” or “connected” to another element, that element is or may be directly connected to the other element, but there is another element between the elements. It will be understood that elements may be “connected”, “coupled” or “connected”.

As used herein, "comprises" and/or "comprising" means that a stated component, step, operation, and/or element is the presence of one or more other components, steps, operations, and/or elements. or do not rule out additions.

Hereinafter, various embodiments of the present disclosure will be described in detail with reference to the accompanying drawings.

1 illustrates an exemplary environment to which a waste treatment application device 100 (a waste treatment application server) according to some embodiments of the present disclosure may be applied. 1 shows that one user terminal 200 and one external server 300 are applied, but this is only for convenience of understanding, and the number of user terminals 200 and external servers 300 is Anything can be different. Meanwhile, FIG. 1 only illustrates a preferred embodiment for achieving the object of the present disclosure, and some components may be added or deleted as necessary.

Hereinafter, each component shown in FIG. 1 will be described in more detail.

First, the waste treatment application server 100 may receive various user inputs from the user terminal 200 . Here, the user input may be an input to a user interface related to a waste treatment application service provided by the waste treatment application server 100 to the user terminal 200, and for example, by pressing any one of a plurality of buttons provided in the user interface. It can be any input you choose. Specifically, when a user generates a user input to a user interface related to a waste treatment application service through the user terminal 200, the user input may be received by the waste treatment application server 100.

Also, the waste treatment application server 100 may receive an image from the user terminal 200 . Here, the image may be an image obtained through a camera module of the user terminal 200 .

Also, the waste treatment application server 100 may classify the object represented in the image based on the attribute of the object represented in the image. Here, an artificial intelligence model (e.g., a waste classification model) that classifies an object represented in the image using an image may be used. At this time, the artificial intelligence model may be learned in the waste treatment application server 100 external device 300 and loaded into the waste treatment application server 100, but is not limited thereto, and the waste treatment application server 100 ) can be learned.

In addition, the waste treatment application server 100 may transmit various types of information to the external device 300 . Here, the external device 300 may be the artificial intelligence model learning device described above, or may be a local government management server.

In order to exclude redundant descriptions, a more specific operation performed by the waste treatment application server 100 will be described in detail later with reference to the drawings below in FIG. 2 .

The aforementioned waste treatment application server 100 may be implemented with one or more computing devices. For example, all functions of the waste treatment application server 100 may be implemented in a single computing device. As another example, the first function of the waste treatment application server 100 may be implemented in a first computing device, and the second function may be implemented in a second computing device. Here, the aforementioned computing device may be a notebook, a desktop, or a laptop, but is not limited thereto and may include all types of devices equipped with a computing function. However, in an environment in which the waste treatment application server 100 needs to manage waste treatment applications in association with various user terminals 200, it may be preferable that the waste treatment application server 100 be implemented as a high-performance server-class computing device. . Reference is made to FIG. 6 for an example of a computing device.

Next, the user terminal 200 may use waste treatment application services provided by the waste treatment application server 100 . For example, a user may apply for waste treatment using the user terminal 200 and pay a treatment cost for the waste. Here, the user terminal 200 may have a web browser or a dedicated application installed in order to use various functions provided by the waste treatment application server 100, for example, the user terminal 200 It may be any one of a desktop, a workstation, a laptop, a tablet, and a smart phone, but is not limited thereto, and any type of device equipped with a computing function may be used. can include

In some embodiments, the waste treatment application server 100, the user terminal 200, and the external device 300 may communicate through a network. The aforementioned network is implemented as all kinds of wired/wireless networks such as a Local Area Network (LAN), a Wide Area Network (WAN), a mobile radio communication network, and Wibro (Wireless Broadband Internet). It can be.

So far, with reference to FIG. 1 , exemplary environments to which the waste treatment application server 100 according to some embodiments of the present disclosure can be applied have been described. Hereinafter, methods according to various embodiments of the present disclosure will be described in detail.

Each step of the above methods may be performed by a computing device. In other words, each step of the methods may be implemented as one or more instructions executed by a processor of a computing device. All of the steps involved in these methods could be performed by one physical computing device, but first steps of the method are performed by a first computing device and second steps of the method are performed by a second computing device. It could be. Hereinafter, description will be continued on the assumption that each step of the above methods is performed by the waste treatment request server 100 illustrated in FIG. 1 . However, for convenience of explanation, the description of the operating subject of each step included in the above-described methods may be omitted. Furthermore, it should be noted that even though the description is made on the assumption that the waste treatment application server 100 performs the process, the process performed by the user terminal 200 is not excluded from the present disclosure.

Referring to FIG. 2 , in step S100 , a user input for a target service according to a waste treatment type may be obtained. Here, the waste treatment type means a type of waste treatment method, and the user may select a corresponding target service according to the waste treatment type. Referring to FIGS. 4 and 5 for a detailed description of these target services, the types of target services include direct discard (10a), drop-off (10b), used purchase (10c), and early morning recycling (10d). can do.

Specifically, the direct dumping service (10a) is a service in which the user can directly transport the waste and dump it at a designated place, and the drop-off service (10b) is a service in which a waste handler visits, collects the waste, and discards the waste at a designated place. The purchase (10c) service is a service in which a processor visits and collects waste, and refunds to the user the cost of supplying the waste to the used market. It may mean a service that recycles at a designated place. However, the scope of the present disclosure is not limited to the target services illustrated in FIGS. 4 and 5, and any target service determined to correspond to the waste treatment type may be included in the scope of the present disclosure.

Referring to step S100 , in some embodiments, obtaining user input may include obtaining user input for a treatment area of the target waste. Here, the treatment area may refer to an area where the target waste is disposed of. Since the area where the target waste is disposed of determines the local government having jurisdiction over the target waste and regulations (eg, ordinances) related to the target waste, the treatment area may be used in various embodiments to be described later.

Next, in step S200, items of target waste may be classified based on the target waste image. Here, the target waste image may be obtained from the user terminal as described with reference to FIG. 1 . At this time, the camera module of the user terminal is a module for photographing the target waste requiring the target service selected in step S100, and various known camera modules may be applied to the present disclosure.

Regarding the item classification of the target waste, in some embodiments, the step of classifying the item may include using a waste classification model that has learned a correlation between a set of waste learning images and a set of items determined to correspond to the set of waste learning images, It may include sorting items of target waste. Here, the waste learning image set may mean a plurality of images in which waste is expressed, and the item set may mean a plurality of labels assigned to correspond to each of a plurality of images included in the waste learning image set. . For example, refrigerator text may be assigned as a label to correspond to a waste learning image in which a refrigerator is expressed, and bicycle text may be assigned as a label to correspond to a waste learning image in which a bicycle is expressed. Specifically, an artificial intelligence algorithm that classifies an image into a corresponding label based on an image input may be applied to the present disclosure, and for example, a supervised learning-based convolutional neural network algorithm may be referred to. . However, in addition to the above examples, various artificial intelligence algorithms may be applied to the present disclosure, and any algorithm for classifying an object represented in a target image may be applied to the present disclosure. According to this embodiment, items of target waste represented in the image captured by the user can be automatically classified based on the image easily captured by the user. In particular, since it is cumbersome for the user to select an item corresponding to the target waste from among various list items, user convenience can be maximized through this embodiment.

Regarding the waste classification model, in some embodiments, classifying items of the target waste using the waste classification model may include displaying a standard number of items determined to correspond to the target waste or a standard number of items. Based on a user input selecting a target item of waste may be classified. Here, the standard number means the number of items to be displayed to the user, and the standard number can be changed as much as possible. In this case, the item to be displayed to the user may mean an item having a higher softmax function value that can be utilized in an output layer of the waste classification model. Specifically, if there are m classification classes (i.e., all items) (m is a natural number) and the number of criteria is n (n is a natural number less than or equal to m), among them, n items with higher function values of the output layer are sent to the user. It can be displayed, and the user can select one item corresponding to the target waste from among the displayed items. According to this embodiment, errors that may occur in the waste classification model can be minimized by the user confirming and selecting the result according to the waste classification model. In addition, according to this embodiment, since the user can select an item corresponding to the target waste with one selection, the user's convenience can be maximized.

Regarding the waste classification model, in some other embodiments, the waste classification model may be updated by using some of the applied images including the target waste image as a waste training image set. Specifically, the first item corresponding to the first target waste image among the application images is an item selected by the user from among a plurality of items determined from among a plurality of items according to the waste classification model, and a second target waste image. If the corresponding second item is an item determined from among a plurality of items according to the waste classification model, the first target waste image and the first item will ensure relatively high accuracy when compared with the second target waste image and the second item. Since it is an image that can be used, the first target waste image and the first item may be used as learning data when updating the waste classification model. According to this embodiment, the performance of the classification model can be improved by using highly accurate data as learning data of the classification model when updating the classification model.

Regarding the item classification of the target waste, in some other embodiments, the step of classifying the item may include the item of the target waste not being looked up in the first item classification list corresponding to the treatment area, but located in an external area distinct from the treatment area. and transmitting the occurrence of the event to an external server corresponding to a treatment area when an event in which an item of the target waste is searched in the corresponding second item classification list occurs. Specifically, due to differences in ordinances of each local government, a specific item may exist in the first area (eg, external area) but not in the second area (eg, processing area). According to this embodiment, by detecting an event that may occur when the target waste is disposed of in the treatment area (i.e., an event where an item is searched in an external area, but an item is not searched in the treatment area), the ordinance of the treatment area is amended. Data that can be referred to can be transmitted to the processing area server.

Here, the transmitting of the occurrence of the event may include transmitting an item searched from the second item classification list together with the occurrence of the event. According to the present embodiment, since an item of an external region is transmitted together with an event, it is possible to minimize a difference between items that may be differently defined for each local government by referring to an item of the external region when an ordinance of a processing region is revised.

With respect to itemization of the target waste, in some other embodiments, the step of sorting the items comprises dividing a set of items of external areas corresponding to a first item included in a first item classification list corresponding to a treatment area into one. Simultaneously displaying them on the screen may be included. Specifically, due to differences in ordinances of each local government, certain items may be differently regulated in the first region (eg, external region) and the second region (eg, processing region). According to this embodiment, by displaying together a set of items from other external areas (i.e., items specified differently from items from the processing area) together with items from the processing area, users may be prevented from experiencing problems caused by items differently specified from the processing area. Confusion can be minimized.

Next, in step S300, payment for the payment amount determined based on the item of target waste may be performed. Here, payment may be performed according to various well-known methods, and any method may be included in the scope of the present disclosure as long as it is a method of processing the payment amount determined based on the item of the target waste.

FIG. 3 sequentially shows the operations described with reference to FIG. 2, and it can be understood that the application for waste treatment proceeds in the order of service selection (10), photo taking (20), and payment (30).

The various methods of the present disclosure have been described so far with reference to FIG. 2 and related exemplary drawings. According to the various methods of the present disclosure, it is possible to automate the application for treatment of waste and the subsequent treatment. In addition, waste items may be automatically classified, and the accuracy of item classification may be further improved through an operation in which some users verify classification results. In addition, since the user can comprehensively understand ordinances differently prescribed for each local government, user convenience can be maximized. Furthermore, it is possible to provide data for revising the classification criteria to areas where waste classification criteria are insufficient.

Hereinafter, with reference to FIG. 6 , an exemplary computing device 1500 capable of implementing a waste treatment request device according to some embodiments of the present disclosure will be described in more detail.

The computing device 1500 includes one or more processors 1510, a bus 1550, a communication interface 1570, a memory 1530 for loading a computer program 1591 executed by the processor 1510, and a computer A storage 1590 for storing the program 1591 may be included. However, only components related to the embodiment of the present disclosure are shown in FIG. 6 . Accordingly, those of ordinary skill in the art to which this disclosure belongs may know that other general-purpose components may be further included in addition to the components shown in FIG. 6 .

The processor 1510 controls the overall operation of each component of the computing device 1500 . The processor 1510 includes a central processing unit (CPU), a micro processor unit (MPU), a micro controller unit (MCU), a graphics processing unit (GPU), or any type of processor well known in the art of the present disclosure. It can be. Also, the processor 1510 may perform an operation for at least one application or program for executing a method according to embodiments of the present disclosure. Computing device 1500 may include one or more processors.

Memory 1530 stores various data, commands and/or information. Memory 1530 may load one or more programs 1591 from storage 1590 to execute a method according to embodiments of the present disclosure. The memory 1530 may be implemented as a volatile memory such as RAM, but the technical scope of the present disclosure is not limited thereto.

The bus 1550 provides a communication function between components of the computing device 1500 . The bus 1550 may be implemented as various types of buses such as an address bus, a data bus, and a control bus.

The communication interface 1570 supports wired and wireless Internet communication of the computing device 1500 . Also, the communication interface 1570 may support various communication methods other than Internet communication. To this end, the communication interface 1570 may include a communication module well known in the art of the present disclosure.

According to some embodiments, communication interface 1570 may be omitted.

The storage 1590 may non-temporarily store one or more programs 1591 and various data described above.

The storage 1590 may be non-volatile memory, such as read only memory (ROM), erasable programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), flash memory, etc., a hard disk, a removable disk, or as is well known in the art. It may be configured to include any known type of computer-readable recording medium.

Computer program 1591 may include one or more instructions that when loaded into memory 1530 cause processor 1510 to perform methods/operations in accordance with various embodiments of the present disclosure. That is, the processor 1510 may perform methods/operations according to various embodiments of the present disclosure by executing one or more of the above-described instructions.

So far, various embodiments of the present disclosure and effects according to the embodiments have been described with reference to FIGS. 1 to 6 . Effects according to the technical idea of the present disclosure are not limited to the effects mentioned above, and other effects not mentioned will be clearly understood by those skilled in the art from the description of the specification.

The technical idea of the present disclosure described with reference to FIGS. 1 to 6 so far may be implemented as computer readable code on a computer readable medium. The aforementioned computer-readable recording medium is, for example, a removable recording medium (CD, DVD, Blu-ray disc, USB storage device, removable hard disk) or a fixed recording medium (ROM, RAM, computer-equipped hard disk). can be A computer program recorded on a computer-readable recording medium may be transmitted to another computing device through a network such as the Internet, installed in the other computing device, and thereby used in the other computing device.

In the above, even though all the components constituting the embodiments of the present disclosure have been described as being combined or operated as one, the technical idea of the present disclosure is not necessarily limited to these embodiments. That is, within the scope of the purpose of the present disclosure, all of the components may be selectively combined with one or more to operate.

Although actions are shown in a particular order in the drawings, it should not be understood that the actions must be performed in the specific order shown or in a sequential order, or that all shown actions must be performed to obtain a desired result. In certain circumstances, multitasking and parallel processing may be advantageous. Moreover, the separation of the various components in the embodiments described above should not be understood as requiring such separation, and the described program components and systems may generally be integrated together into a single software product or packaged into multiple software products. It should be understood that there is

Although the embodiments of the present disclosure have been described with reference to the accompanying drawings, those skilled in the art may implement the present disclosure in other specific forms without changing the technical spirit or essential features. can understand that there is Therefore, the embodiments described above should be understood as illustrative in all respects and not limiting. The protection scope of the present disclosure should be construed by the following claims, and all technical ideas within the equivalent range should be construed as being included in the scope of rights of the technical ideas defined by the present disclosure.

Claims (8)

In a method performed by a computing device,
obtaining a user input for a target service according to a waste treatment type;
Classifying items of the target waste based on a target waste image photographed using a camera module, wherein the camera module is a module for photographing the target waste for which the target service is required; and
Comprising the step of making a payment for the payment amount determined based on the item of the target waste,
Obtaining the user input,
Obtaining a user input for a treatment area of the target waste,
The step of classifying the items is,
simultaneously displaying on one screen a set of items of external areas corresponding to a first item included in a first item classification list corresponding to the processing area; and
When an item of the target waste is not searched in the first item classification list, but an event in which an item of the target waste is searched in the item set of the external regions occurs, the occurrence of the event is sent to the server corresponding to the treatment area. Including sending
Transmitting the occurrence of the event,
Transmitting an item searched from the item set together with the occurrence of the event,
How to apply for waste disposal. delete delete delete According to claim 1,
The step of classifying the items is,
Using a waste classification model that has learned a correlation between a waste learning image set and a set of items determined to correspond to the waste learning image set, classifying items of the target waste,
How to apply for waste disposal. According to claim 5,
The step of classifying items of the target waste using the waste classification model,
displaying a standard number of items determined to correspond to the target waste; and
Based on a user input for selecting any one of the reference number of items, classifying items of the target waste,
How to apply for waste disposal. According to claim 5,
The waste classification model,
A model updated by using a portion selected from among the application images including the target waste image as the waste learning image set,
How to apply for waste disposal. processor;
network interface;
Memory; and
A computer program loaded into the memory and executed by the processor,
The computer program,
instructions for obtaining a user input for a target service according to a waste treatment type;
Based on a target waste image captured using a camera module of a user terminal, an instruction for classifying items of the target waste, wherein the camera module is a module for photographing the target waste for which the target service is required; and
Including instructions for performing payment for the payment amount determined based on the item of the target waste,
The instruction for obtaining the user input,
Including instructions for obtaining a user input for a treatment area of the target waste,
The instruction to classify the item is,
instructions for simultaneously displaying, on one screen, a set of items of external areas corresponding to a first item included in a first item classification list corresponding to the processing area; and
When an item of the target waste is not searched in the first item classification list, but an event in which an item of the target waste is searched in the item set of the external regions occurs, the occurrence of the event is sent to the server corresponding to the treatment area. contains instructions to transmit;
The instruction for transmitting the occurrence of the event,
Including instructions for transmitting an item retrieved from the item set with the occurrence of the event,
Waste disposal application device.

Images