CN115724083A - Garbage classification method, intelligent garbage can, storage medium and electronic device - Google Patents
Garbage classification method, intelligent garbage can, storage medium and electronic device Download PDFInfo
- Publication number
- CN115724083A CN115724083A CN202211295043.8A CN202211295043A CN115724083A CN 115724083 A CN115724083 A CN 115724083A CN 202211295043 A CN202211295043 A CN 202211295043A CN 115724083 A CN115724083 A CN 115724083A
- Authority
- CN
- China
- Prior art keywords
- garbage
- classification
- target
- sorting
- baffle
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02W—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO WASTEWATER TREATMENT OR WASTE MANAGEMENT
- Y02W30/00—Technologies for solid waste management
- Y02W30/10—Waste collection, transportation, transfer or storage, e.g. segregated refuse collecting, electric or hybrid propulsion
Landscapes
- Processing Of Solid Wastes (AREA)
Abstract
The application discloses a garbage classification method, an intelligent garbage can, a storage medium and an electronic device, and relates to the technical field of intelligent home/smart home, wherein the garbage classification method comprises the following steps: acquiring garbage image data of target garbage; inputting the garbage image data into a garbage classification model to obtain a garbage classification result of the target garbage, wherein the garbage classification model is obtained by training a sample garbage image marked with a garbage type label; and sorting the target garbage to a corresponding garbage recycling bin according to the garbage classification result. This application has avoided artifical manual rubbish classification that carries on, improves rubbish classification efficiency.
Description
Technical Field
The application relates to the technical field of artificial intelligence, in particular to a garbage classification method, an intelligent garbage can, a storage medium and an electronic device.
Background
The garbage classification aims to improve the resource value and economic value of garbage, reduce the garbage treatment amount and equipment use amount, reduce the garbage treatment cost and reduce the consumption of land resources, and has social, economic and ecological benefits and the like. With the popularization of smart homes, people prefer to use smart home appliances to complete certain housework, for example, an intelligent classification garbage can is used for replacing manual garbage classification.
At present, public intelligent classification garbage cans are arranged in a plurality of communities, but the garbage cans are only limited to automatically purifying sewage and smell, calculating the weight of recoverable garbage, adding functions such as integration and the like for a dispenser, realizing the automatic classification function of the garbage, and still needing the dispenser to manually classify the garbage and then dispense the garbage into a specified garbage can. Due to the fact that the garbage is various, the garbage classification consciousness of a thrower is weak, and the judgment capability of different types of garbage is inconsistent, and the accuracy of manual garbage classification is low.
Therefore, a garbage classification method, an intelligent garbage can, a storage medium and an electronic device are needed to solve the above problems.
Disclosure of Invention
The application provides a garbage classification method, an intelligent garbage can, a storage medium and an electronic device, which are used for solving the defects that in the prior art, garbage is various, the garbage classification consciousness of a thrower is weak, and the judgment capability of different types of garbage is inconsistent, so that the accuracy of manual garbage classification is low.
The application provides a garbage classification method, which comprises the following steps:
acquiring garbage image data of target garbage;
inputting the garbage image data into a garbage category identification model to obtain a garbage classification result of the target garbage, wherein the garbage category identification model is obtained by training a sample garbage image marked with a garbage type label;
and sorting the target garbage to a corresponding garbage recycling bin according to the garbage classification result.
According to the garbage classification method provided by the application, the step of sorting the target garbage into the corresponding garbage recycling bin according to the garbage classification result comprises the following steps:
determining liquid garbage and solid garbage according to the garbage classification result;
under the condition that harmful substance information exists in the liquid garbage, sorting the liquid garbage into a harmful garbage recycling bin;
under the condition that harmful substance information does not exist in the liquid garbage, sorting the liquid garbage into a kitchen garbage recycling bin;
after the sorting of the liquid garbage is completed, sorting the solid garbage to corresponding target garbage recycling bins according to the garbage classification result, wherein the target garbage recycling bins comprise kitchen garbage recycling bins, harmful garbage recycling bins and recyclable garbage recycling bins.
According to the garbage classification method provided by the application, the garbage classification recognition model is obtained by training through the following steps:
acquiring a sample garbage image;
generating a garbage type label based on different types of garbage information;
marking a corresponding garbage type label in each sample garbage image, and constructing to obtain a training sample set;
and training the convolutional neural network through the training sample set to obtain the garbage category identification model.
The application also provides an intelligent garbage can based on the garbage classification method, which comprises a can cover body, a classification can body and a garbage classification server, wherein the can cover body is arranged at the top of the classification can body, and the bottom of the classification can body is provided with garbage recycling cans for containing different garbage types, wherein:
the garbage classification server is used for classifying and identifying garbage images, and then the garbage classification server is used for classifying and identifying the garbage images;
the classification box body is used for sorting the classified target garbage to corresponding garbage recycling bins according to the garbage classification result obtained by the garbage classification server;
the garbage classification server is used for performing garbage classification and identification on the garbage images collected by the image collection module and sending garbage classification results obtained through identification to the classification box body.
According to the application, an intelligent garbage can is provided, inside image acquisition module and the adjustable fender of being provided with of case lid, wherein:
the image acquisition module is used for acquiring images of target garbage above the movable baffle and sending acquired garbage image data to the garbage classification server;
the movable baffle is arranged at the bottom of the box cover body and used for being in an opening state through driving of the first motor after the garbage classification server finishes garbage image classification and identification, so that the target garbage falls into the classification box body.
According to the application, an intelligent garbage can is provided, inside liquid rubbish separation layer, the waste classification device and the waste classification baffle of being provided with of classification box, wherein:
the liquid garbage separation layer is arranged between a garbage inlet of the classification box body and the garbage classification baffle and is used for filtering liquid garbage in the target garbage so as to enable the liquid garbage to flow into a region corresponding to the liquid garbage in the garbage classification baffle;
the garbage classification device has a grabbing function and is used for grabbing the solid garbage in the liquid garbage separation layer to an area corresponding to the solid garbage in the garbage classification baffle according to a garbage classification result obtained by the garbage classification server;
the garbage classification baffle is arranged above the garbage recycling bin, and after the classified target garbage is placed in the corresponding region of the garbage classification baffle, the garbage classification baffle is used for driving the corresponding region of the garbage classification baffle to be in an open state through a second motor, so that the classified target garbage falls into the corresponding garbage recycling bin.
According to the intelligent garbage can provided by the application, the classification box body further comprises an infrared correlation detector, the detection range of the infrared correlation detector covers the upper surface of the garbage classification baffle, and the classified target garbage is placed on the corresponding area of the garbage classification baffle, so that the instruction information for driving the second motor is generated.
According to the utility model provides an intelligent garbage can, the device is changed to categorised box inside still including the disposal bag, be provided with the disposal bag that the garbage collection bucket of different rubbish types used in the disposal bag change device, be used for after the disposal bag that garbage collection bucket used at present removes, do again the disposal bag that garbage collection bucket installation corresponds.
The present application also provides a computer-readable storage medium, which includes a stored program, wherein the program is executed when running to implement any of the above garbage classification methods.
The present application further provides an electronic device, comprising a memory and a processor, where the memory stores a computer program, and the processor is configured to execute, by the computer program, the implementation of any one of the above garbage classification methods.
The application provides a waste classification method, intelligent dustbin, storage medium and electron device, through fusing artificial intelligence technique and traditional environmental protection industry, utilize the rubbish image data recognition result who acquires, with the rubbish letter sorting of different grade type to corresponding rubbish recycling bin, avoided artifical manual carrying on waste classification, improved waste classification efficiency.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and together with the description, serve to explain the principles of the application.
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly described below, and it is obvious for those skilled in the art to obtain other drawings without inventive exercise.
Fig. 1 is a schematic diagram of a hardware environment of an interaction method of an intelligent device according to an embodiment of the present application;
fig. 2 is a schematic flowchart of a garbage classification method provided in the present application;
FIG. 3 is a schematic structural diagram of an intelligent trash can provided by the present application;
fig. 4 is a schematic structural diagram of an electronic device provided in the present application.
Detailed Description
In order to make the technical solutions better understood by those skilled in the art, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only partial embodiments of the present application, but not all embodiments. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments in the present application without making any creative effort shall fall within the protection scope of the present application.
It should be noted that the terms "first", "second", and the like in this application are used for distinguishing similar objects, and do not necessarily have to be used for describing a particular order or sequence. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the application described herein are capable of operation in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
According to one aspect of the embodiments of the present application, a garbage classification method is provided. The garbage classification method is widely applied to full-House intelligent digital control application scenes such as intelligent homes (Smart Home), intelligent homes, intelligent household equipment ecology, intelligent residence (Intelligence House) ecology and the like. Alternatively, in this embodiment, the garbage classification method may be applied to a hardware environment formed by the terminal device 102 and the server 104 as shown in fig. 1. As shown in fig. 1, the server 104 is connected to the terminal device 102 through a network, and may be configured to provide a service (e.g., an application service) for the terminal or a client installed on the terminal, set a database on the server or independent of the server, and provide a data storage service for the server 104, and configure a cloud computing and/or edge computing service on the server or independent of the server, and provide a data operation service for the server 104.
The network may include, but is not limited to, at least one of: wired networks, wireless networks. The wired network may include, but is not limited to, at least one of: wide area networks, metropolitan area networks, local area networks, which may include, but are not limited to, at least one of the following: WIFI (Wireless Fidelity), bluetooth. Terminal equipment 102 can be but not limited to be PC, the cell-phone, the panel computer, intelligent air conditioner, intelligent cigarette machine, intelligent refrigerator, intelligent oven, intelligent kitchen range, intelligent washing machine, intelligent water heater, intelligent washing equipment, intelligent dish washer, intelligent projection equipment, intelligent TV, intelligent clothes hanger, intelligent (window) curtain, intelligence audio-visual, smart jack, intelligent stereo set, intelligent audio amplifier, intelligent new trend equipment, intelligent kitchen guarding equipment, intelligent bathroom equipment, intelligence robot of sweeping the floor, intelligence robot of wiping the window, intelligence robot of mopping the ground, intelligent air purification equipment, intelligent steam ager, intelligent microwave oven, intelligent kitchen is precious, intelligent clarifier, intelligent water dispenser, intelligent lock etc..
The existing automatic garbage classification technology is simple in function, can only identify some common garbage, cannot achieve classification of real significance for complex household garbage, and still needs to be manually classified and then put into a garbage recycling bin. This application utilizes artificial intelligence visual identification technique, realizes categorised and letter sorting to domestic waste of family to fuse artificial intelligence technique and traditional environmental protection industry mutually, design a rubbish automatic classification's intelligent dustbin, be applied to daily domestic waste's classification.
Fig. 2 is a schematic flow chart of the garbage classification method provided in the present application, and as shown in fig. 2, the present application provides a garbage classification method, including:
and 203, sorting the target garbage to a corresponding garbage recycling bin according to the garbage classification result.
In this application, after the power of putting through intelligent dustbin, the equipment display screen of intelligent dustbin opened, and the inside procedure of intelligent dustbin began to operate this moment, before carrying out rubbish discernment letter sorting, still need carry out the initialization setting to the inside infrared correlation detector of intelligent dustbin, opens the camera after the completion and carries out work.
Specifically, in the working process of the intelligent garbage can, a user throws garbage into an inner circular baffle of the intelligent garbage can, and a camera automatically photographs the garbage so as to obtain garbage image data; then, the camera sends the detected image data to a garbage classification server, and the garbage image data is analyzed and identified through a garbage classification identification model arranged in the garbage classification server, so that the garbage type is determined and a corresponding control instruction is generated; further, the inside letter sorting unit (being the waste classification device) of categorised box sorts the rubbish of different grade type to the corresponding region of waste classification baffle, and the infrared signal in the corresponding region of waste classification baffle is sheltered from by rubbish article this moment to driving motor makes the region that waste classification baffle held rubbish rotate, makes this region present the open state, accomplishes the operation that rubbish fell into the garbage collection bucket.
The garbage classification method provided by the application fuses the artificial intelligence technology and the traditional environmental protection industry, and the garbage image data identification result obtained is utilized to sort different types of garbage into corresponding garbage recycling bins, so that manual garbage classification is avoided, and the garbage classification efficiency is improved.
On the basis of the above embodiment, the sorting the target garbage into corresponding garbage collection bins according to the garbage classification result includes:
determining liquid garbage and solid garbage according to the garbage classification result;
under the condition that harmful substance information exists in the liquid garbage, sorting the liquid garbage into a harmful garbage recycling bin;
under the condition that harmful substance information does not exist in the liquid garbage, sorting the liquid garbage into a kitchen garbage recycling bin;
after the sorting of the liquid garbage is completed, sorting the solid garbage to corresponding target garbage recycling bins according to the garbage sorting result, wherein the target garbage recycling bins comprise kitchen garbage recycling bins, harmful garbage recycling bins and recyclable garbage recycling bins.
In this application, at first need distinguish liquid rubbish and solid rubbish, consequently, still be provided with the liquid rubbish separating layer in the inside liquid rubbish separating layer that still is provided with of the categorised box of intelligent dustbin, filter out liquid rubbish after, carry out harmful substance analysis to it to according to the analysis result, sort liquid rubbish preferentially, accomplish the letter sorting of other solid rubbish again, further improve the accuracy of refuse classification.
On the basis of the above embodiment, the garbage category identification model is obtained by training through the following steps:
acquiring a sample garbage image;
generating a garbage type label based on different types of garbage information;
marking a corresponding garbage type label in each sample garbage image, and constructing to obtain a training sample set;
and training the convolutional neural network through the training sample set to obtain the garbage category identification model.
In the application, a training sample set is constructed by marking corresponding garbage type labels, such as harmful garbage labels, kitchen garbage labels, recyclable garbage labels and the like, in a sample garbage image, and then training a convolutional neural network through sample data in the training sample set, and after the training times reach preset times, stopping training to obtain a model for garbage classification recognition, namely a garbage category recognition model. The model for garbage classification is constructed through the convolutional neural network, so that the garbage classification precision is higher, meanwhile, the model can be optimized according to the recognition feedback result every time in the actual use process, and the classification effect of the model is continuously improved.
Fig. 3 is a schematic structural diagram of the intelligent trash can provided by the present application, and as shown in fig. 3, the present application provides an intelligent trash can based on the trash classification method provided by the above embodiment, including a can cover 301, a classification can 302 and a trash classification server 303, where the can cover 301 is disposed on the top of the classification can 302, and a trash recycling bin for storing different trash types is disposed at the bottom of the classification can 302, where:
the bin cover body 301 is configured to perform image acquisition on target garbage, send acquired garbage image data to the garbage classification server 303, and drop the target garbage into the classification bin body 302 after the garbage classification server 303 completes garbage image classification and identification;
the classification box 302 is configured to sort the classified target garbage into corresponding garbage recycling bins according to the garbage classification result identified by the garbage classification server 303;
the garbage classification server 303 is configured to perform garbage classification and identification on the garbage image acquired by the image acquisition module, and send a garbage classification result obtained by the identification to the classification box 302.
In the present application, the intelligent trash can mainly includes a cover 301, a sorting box 302, and a trash sorting processor 303, where the cover 301 and the sorting box 302 are further connected to a control unit, and the control unit is configured to control components in the cover 301 and the sorting box 302 according to a control instruction sent by the trash sorting processor 303, for example, to control a movable baffle at the bottom of the cover to open, so that trash falls into the sorting box 302; or, a manipulator (i.e., a garbage sorting device) in the sorting bin 302 is controlled to sort different types of garbage to corresponding garbage sorting baffles at the bottom of the sorting bin 302; or the garbage classification baffle is controlled to be opened, so that the garbage falls into the garbage recycling bin.
On the basis of the above embodiment, the inside of the box cover body 301 is provided with an image acquisition module and a movable baffle plate, wherein:
the image acquisition module is used for acquiring images of target garbage above the movable baffle and sending acquired garbage image data to the garbage classification server 303;
the movable baffle is arranged at the bottom of the box cover body 301 and used for being driven by a first motor to be in an open state after the garbage classification server 303 finishes garbage image classification and identification, so that the target garbage falls into the classification box body 302.
Specifically, in the present application, the cover body 301 mainly includes a cover for preventing dust or other foreign objects from falling into the intelligent trash can, a movable baffle, and a camera (i.e., an image capturing device). In an embodiment, the movable baffle plate is composed of a circular baffle plate, a rotating bottom plate and a rotating cover plate, wherein the rotating bottom plate is attached to the circular baffle plate and arranged below the circular baffle plate, the circular baffle plate is of a movable structure (for example, the circular baffle plate is divided into four parts by the central axis of the circular baffle plate, each part can rotate to the position above or below the other part, and when the circular baffle plate rotates to the other part, the two parts are attached to each other, so that garbage drops to the classification box body 302 from the opening, and when a motor (a first motor) in the rotating bottom plate rotates, the circular baffle plate is driven to rotate, so that the circular baffle plate for placing the garbage has the opening. After the user lifts the apron, the rotatory apron is automatic to be opened (the sensor that the inside set up of accessible adjustable fender, after sensing the apron and lifting, utilize motor drive rotatory apron to open), at this moment, the user pours rubbish into the case lid 301 in for rubbish is placed in the circular baffle top, after the camera is accomplished the shooting to rubbish, the circular baffle region (rubbish is in a certain quartering part of circular baffle promptly) of placing rubbish is opened through the rotation of rotatory bottom plate, makes rubbish drop to categorised box 302.
In an embodiment, the inside infrared correlation detector that still sets up of case lid body, whether the perception has rubbish to throw into in the circular baffle to start the camera, shoot rubbish through the camera, and through rubbish classification server, carry out contrastive analysis with the image data in the rubbish picture storehouse of shooing, judge the kind of current rubbish, in order to generate corresponding instruction, control movable baffle opens corresponding region.
On the basis of the above embodiment, the inside liquid waste separation layer, the waste classification device and the waste classification baffle that are provided with of classification box 302, wherein:
the liquid garbage separation layer is arranged between the garbage inlet of the classification box 302 and the garbage classification baffle and is used for filtering the liquid garbage in the target garbage so as to enable the liquid garbage to flow into a region corresponding to the liquid garbage in the garbage classification baffle;
the garbage classification device has a capturing function and is used for capturing the solid garbage in the liquid garbage separation layer to an area corresponding to the solid garbage in the garbage classification baffle according to the garbage classification result obtained by the recognition of the garbage classification server 303;
the garbage classification baffle is arranged above the garbage recycling bin, and after the classified target garbage is placed in the corresponding region of the garbage classification baffle, the garbage classification baffle is used for driving the corresponding region of the garbage classification baffle to be in an open state through a second motor, so that the classified target garbage falls into the corresponding garbage recycling bin.
Specifically, in this application, according to the existing household garbage type, 4 types of garbage classification, the bottom of the classification box 302 is separated into 4 spaces by a partition board, and garbage recycling bins corresponding to the 4 types of garbage classification, namely, kitchen garbage, harmful garbage, recyclable garbage and other garbage, are respectively placed.
Further, after the garbage falls into the classification box 302, the garbage is firstly placed in the liquid garbage separation layer, and based on the filter screen of the liquid garbage separation layer, the liquid in the garbage is firstly filtered out and is conveyed to the corresponding region (such as kitchen garbage region) of the garbage classification baffle plate through a pipeline. Preferably, in an embodiment, a liquid storage container may be disposed at the filter screen, so that the liquid in the garbage is firstly filtered into the container, and then the liquid composition may be analyzed by some chemical analysis devices to determine whether there is a harmful substance, such as a battery leakage, etc., and if there is a harmful substance, the liquid may be directly discharged to an area corresponding to the harmful substance in the garbage classification baffle through the pipeline (during the discharge process, the classification baffle in the area may be opened in advance, so that the harmful liquid directly flows into the harmful garbage recycling bin from the pipeline).
Further, for solid waste on the liquid waste separation layer, after the waste classification server completes recognition of the waste image, a corresponding control instruction (including a capture object, waste position information, waste placement region information and the like) is generated based on a waste classification result, so that the waste classification device captures the solid waste to a region corresponding to the waste classification baffle after receiving the control instruction. In this embodiment, the garbage classification baffle is similar to the movable baffle in the above embodiments in structure, and after garbage is placed in a corresponding region of the garbage classification baffle, the cover plate in the corresponding region of the garbage classification baffle is driven to rotate by a motor (a second motor) so as to realize an open state, and the garbage falls into a corresponding garbage recycling bin.
In this application, the garbage classification server 303, and the control unit who is used for control box lid body 301 and categorised box 302, can set up the bottom at intelligent dustbin, wherein, the garbage classification server 303 mainly includes raspberry group development module, with Python language programming and OpenCV image processing storehouse, collocation USB exempts from to drive hardware such as camera and infrared correlation detector, utilize degree of deep learning artificial intelligence (for example, openCV and TensorFlow etc.), can realize the detection to rubbish, camera control, drawing storehouse contrastive analysis and control case lid rotation etc. to realize the classification and the letter sorting of rubbish.
The application provides an intelligent dustbin, through fusing artificial intelligence technique and traditional environmental protection industry, design an intelligent dustbin with automatic sorting rubbish, utilize the rubbish image data recognition result who acquires for this intelligent dustbin sorts the rubbish of different grade type to corresponding garbage collection bucket, has avoided artifical manual rubbish classification that carries on, has improved waste classification efficiency.
On the basis of the above embodiment, the classification box 302 further includes an infrared correlation detector, and a detection range of the infrared correlation detector covers the upper surface of the garbage classification baffle, and is configured to generate instruction information for driving the second motor when the classified target garbage is placed in a region corresponding to the garbage classification baffle.
In this application, also set up infrared ray correlation detector in the top of waste classification baffle for rubbish falls behind the appointed region, can open this part region of waste classification baffle automatically, improves the efficiency that rubbish got into the recycling bin.
On the basis of the above embodiment, the classification box 302 further includes a garbage bag replacing device, and the garbage bag replacing device is provided with garbage bags used by garbage collection cans of different garbage types, and is configured to reinstall corresponding garbage bags for the garbage collection cans after the garbage bags currently used by the garbage collection cans are removed.
In this application, after filling with rubbish in the disposal bag of recycling bin, the automatic mechanism of packing of the current disposal bag of accessible is with the disposal bag packing to the disposal bag after will packing is put into the appointed position of waiting to load and unload, waits for the garbage truck to load. Meanwhile, a new garbage bag is installed in the packaged garbage collection can through the garbage bag replacing device, and the colors of the garbage bags of the garbage collection cans of each garbage type are different so as to be used for distinguishing different types of garbage, so that the garbage bag replacing device can replace the garbage bags with corresponding colors to the corresponding garbage collection can through the visual recognition function.
The following describes the garbage classification system provided in the present application, and the garbage classification system described below and the garbage classification method described above may be referred to in a corresponding manner.
The application also provides a garbage classification system which comprises an image acquisition module, a garbage category identification module and a garbage sorting module, wherein the image acquisition module is used for acquiring garbage image data of target garbage; the garbage category identification module is used for inputting the garbage image data into a garbage category identification model to obtain a garbage classification result of the target garbage, wherein the garbage category identification model is obtained by training a sample garbage image marked with a garbage type label; the garbage sorting module is used for sorting the target garbage to the corresponding garbage recycling bin according to the garbage classification result.
The application provides a waste classification system, through fusing artificial intelligence technique and traditional environmental protection industry, design an intelligent dustbin with automatic sorting rubbish, utilize the rubbish image data recognition result who acquires for this intelligent dustbin sorts the rubbish of different grade type to corresponding garbage collection bucket, has avoided artifical manual rubbish classification that carries on, has improved waste classification efficiency.
On the basis of the above embodiment, the garbage sorting module includes a liquid garbage determining module, a first liquid garbage sorting unit, a second liquid garbage sorting unit and a solid garbage sorting unit, wherein the liquid garbage determining module is configured to determine liquid garbage and solid garbage according to the garbage classification result; the liquid garbage first sorting unit is used for sorting the liquid garbage into a harmful garbage recycling bin under the condition that harmful substance information exists in the liquid garbage; the liquid garbage secondary sorting unit is used for sorting the liquid garbage into a kitchen garbage recycling bin under the condition that harmful substance information does not exist in the liquid garbage; the solid garbage sorting unit is used for sorting the solid garbage to corresponding target garbage recycling bins according to the garbage classification result after the liquid garbage is sorted, and the target garbage recycling bins comprise kitchen garbage recycling bins, harmful garbage recycling bins and recyclable garbage recycling bins.
On the basis of the embodiment, the system further comprises a sample acquisition module, a label generation module, a training set construction module and a training module, wherein the sample acquisition module is used for acquiring a sample garbage image; the label generating module is used for generating a garbage type label based on different types of garbage information; the training set construction module is used for marking a corresponding garbage type label in each sample garbage image to construct a training sample set; and the training module is used for training the convolutional neural network through the training sample set to obtain the garbage category identification model.
Fig. 4 is a schematic structural diagram of an electronic device provided in the present application, and as shown in fig. 4, the electronic device may include: a processor (processor) 410, a communication Interface 420, a memory (memory) 430 and a communication bus 440, wherein the processor 410, the communication Interface 420 and the memory 430 are communicated with each other via the communication bus 440. Processor 410 may call logic instructions in memory 430 to perform a garbage classification method comprising: acquiring garbage image data of target garbage; inputting the garbage image data into a garbage classification model to obtain a garbage classification result of the target garbage, wherein the garbage classification model is obtained by training a sample garbage image marked with a garbage type label; and sorting the target garbage to a corresponding garbage recycling bin according to the garbage classification result.
In addition, the logic instructions in the memory 430 may be implemented in the form of software functional units and stored in a computer readable storage medium when the software functional units are sold or used as independent products. Based on such understanding, the technical solutions of the present application or portions thereof that substantially contribute to the prior art may be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the methods described in the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
In another aspect, the present application further provides a computer program product, where the computer program product includes a computer program, the computer program can be stored on a computer-readable storage medium, and when the computer program is executed by a processor, a computer can execute the garbage classification method provided by the above methods, and the method includes: acquiring garbage image data of target garbage; inputting the garbage image data into a garbage category identification model to obtain a garbage classification result of the target garbage, wherein the garbage category identification model is obtained by training a sample garbage image marked with a garbage type label; and sorting the target garbage to a corresponding garbage recycling bin according to the garbage classification result.
In another aspect, the present application further provides a computer-readable storage medium, where the computer-readable storage medium includes a stored program, where the program is executed to perform the garbage classification method provided by the above methods, and the method includes: acquiring garbage image data of target garbage; inputting the garbage image data into a garbage category identification model to obtain a garbage classification result of the target garbage, wherein the garbage category identification model is obtained by training a sample garbage image marked with a garbage type label; and sorting the target garbage to a corresponding garbage recycling bin according to the garbage classification result.
The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment may be implemented by software plus a necessary general hardware platform, and may also be implemented by hardware. With this understanding in mind, the above-described technical solutions may be embodied in the form of a software product, which can be stored in a computer-readable storage medium such as ROM/RAM, magnetic disk, optical disk, etc., and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the methods described in the embodiments or some parts of the embodiments.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solutions of the present application, and not to limit the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions in the embodiments of the present application.
Claims (10)
1. A method of sorting waste, comprising:
acquiring garbage image data of target garbage;
inputting the garbage image data into a garbage category identification model to obtain a garbage classification result of the target garbage, wherein the garbage category identification model is obtained by training a sample garbage image marked with a garbage type label;
and sorting the target garbage to a corresponding garbage recycling bin according to the garbage classification result.
2. The method for sorting garbage according to claim 1, wherein the sorting the target garbage into corresponding garbage collection bins according to the garbage sorting result comprises:
determining liquid garbage and solid garbage according to the garbage classification result;
under the condition that harmful substance information exists in the liquid garbage, sorting the liquid garbage into a harmful garbage recycling bin;
under the condition that harmful substance information does not exist in the liquid garbage, sorting the liquid garbage into a kitchen garbage recycling bin;
after the sorting of the liquid garbage is completed, sorting the solid garbage to corresponding target garbage recycling bins according to the garbage classification result, wherein the target garbage recycling bins comprise kitchen garbage recycling bins, harmful garbage recycling bins and recyclable garbage recycling bins.
3. The garbage classification method according to claim 1, characterized in that the garbage category identification model is trained by the following steps:
acquiring a sample garbage image;
generating a garbage type label based on different types of garbage information;
marking a corresponding garbage type label in each sample garbage image, and constructing to obtain a training sample set;
and training the convolutional neural network through the training sample set to obtain the garbage category identification model.
4. An intelligent garbage can based on the garbage classification method of any one of claims 1 to 3, comprising a cover body, a classification can body and a garbage classification server, wherein the cover body is arranged at the top of the classification can body, and the bottom of the classification can body is provided with garbage recycling bins for containing different garbage types, wherein:
the garbage classification server is used for classifying and identifying garbage images, and then the garbage classification server is used for classifying and identifying the garbage images;
the classification box body is used for sorting the classified target garbage to corresponding garbage recycling bins according to the garbage classification result obtained by the garbage classification server;
the garbage classification server is used for performing garbage classification and identification on the garbage images collected by the image collection module and sending garbage classification results obtained through identification to the classification box body.
5. The intelligent trash bin of claim 4, wherein the inside of the bin cover body is provided with an image acquisition module and a movable baffle, wherein:
the image acquisition module is used for acquiring images of target garbage above the movable baffle and sending acquired garbage image data to the garbage classification server;
the movable baffle is arranged at the bottom of the box cover body and used for being in an open state through driving of the first motor after the garbage classification server finishes garbage image classification and identification, so that the target garbage falls into the classification box body.
6. The intelligent garbage can according to claim 4, wherein a liquid garbage separation layer, a garbage classification device and a garbage classification baffle are arranged inside the classification can body, wherein:
the liquid garbage separation layer is arranged between a garbage inlet of the classification box body and the garbage classification baffle and is used for filtering liquid garbage in the target garbage so as to enable the liquid garbage to flow into a region corresponding to the liquid garbage in the garbage classification baffle;
the garbage classification device has a grabbing function and is used for grabbing the solid garbage in the liquid garbage separation layer to an area corresponding to the solid garbage in the garbage classification baffle according to a garbage classification result obtained by the garbage classification server;
the garbage classification baffle is arranged above the garbage recycling bin, and after classified target garbage is placed in the corresponding region of the garbage classification baffle, the garbage classification baffle is driven by a second motor to be in an open state in the corresponding region of the garbage classification baffle, so that the classified target garbage falls into the corresponding garbage recycling bin.
7. The intelligent garbage can according to claim 6, wherein the classification box further comprises an infrared correlation detector, and a detection range of the infrared correlation detector covers an upper surface of the garbage classification baffle and is used for generating instruction information for driving the second motor when the classified target garbage is placed in a region corresponding to the garbage classification baffle.
8. The intelligent garbage can according to claim 4, wherein a garbage bag replacing device is further included inside the classification can body, and garbage bags used by garbage collection cans of different garbage types are arranged in the garbage bag replacing device, so that after the garbage bag currently used by the garbage collection can is removed, the corresponding garbage bag is reinstalled on the garbage collection can.
9. A computer-readable storage medium, comprising a stored program, wherein the program when executed performs the method of any of claims 1 to 3.
10. An electronic device comprising a memory and a processor, characterized in that the memory has stored therein a computer program, the processor being arranged to execute the method of any of claims 1 to 3 by means of the computer program.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211295043.8A CN115724083A (en) | 2022-10-21 | 2022-10-21 | Garbage classification method, intelligent garbage can, storage medium and electronic device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211295043.8A CN115724083A (en) | 2022-10-21 | 2022-10-21 | Garbage classification method, intelligent garbage can, storage medium and electronic device |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN115724083A true CN115724083A (en) | 2023-03-03 |
Family
ID=85293755
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202211295043.8A Pending CN115724083A (en) | 2022-10-21 | 2022-10-21 | Garbage classification method, intelligent garbage can, storage medium and electronic device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115724083A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117923024A (en) * | 2024-03-25 | 2024-04-26 | 江西众加利高科技股份有限公司 | Dry and wet garbage classification method for improving microwave detection precision and related device |
-
2022
- 2022-10-21 CN CN202211295043.8A patent/CN115724083A/en active Pending
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117923024A (en) * | 2024-03-25 | 2024-04-26 | 江西众加利高科技股份有限公司 | Dry and wet garbage classification method for improving microwave detection precision and related device |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110053903B (en) | Household garbage classification and recovery management system and method | |
| KR102397021B1 (en) | Transparent pet container separation system | |
| CN107792561A (en) | A kind of sorting rubbish smartphone system and method | |
| CN110087193A (en) | Information uploading method, device, electronic equipment and the readable storage medium storing program for executing of dustbin | |
| CN110355188B (en) | Smart garbage classification in-situ reduction recycling system based on multiple land utilization | |
| CN106516512A (en) | Intelligent enclosed classification dustbin | |
| CN105858011A (en) | Garbage bin robot | |
| CN107672974A (en) | A kind of intelligent garbage classification device | |
| US11335086B2 (en) | Methods and electronic devices for automated waste management | |
| CN109533721B (en) | Household kitchen waste intelligent collector and control method thereof | |
| CN111559588A (en) | Intelligent garbage can for classified garbage throwing and classified garbage throwing method | |
| CN110897555A (en) | Garbage classification method, device, medium and electronic equipment | |
| CN110577037A (en) | Method for classifying, checking and recycling household garbage | |
| CN111583508A (en) | Garbage classification management system | |
| WO2021179596A1 (en) | Garbage classification method and smart household appliance | |
| CN110902210B (en) | Small-size domestic rubbish automatic classification machine | |
| CN111056191A (en) | Intelligent garbage collection system capable of classifying and delivering multiple garbage | |
| CN115724083A (en) | Garbage classification method, intelligent garbage can, storage medium and electronic device | |
| CN103318582A (en) | Automatic classification trash can | |
| CN110589309A (en) | Automatic garbage classification device and method based on machine vision | |
| CN109455432A (en) | A kind of refuse classification method and garbage recovery device | |
| CN108438586A (en) | The dustbin that classification is delivered | |
| CN210339123U (en) | Dustbin that can intelligent classification retrieves | |
| CN110065746B (en) | Shipping garbage classification system based on Internet of things | |
| CN108455127B (en) | Intelligent classification's garbage bin |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |