Intelligent classification garbage can, classification management method and storage medium

Abstract

The invention relates to an intelligent classification garbage can, a classification management method and a storage medium. The intelligent classification garbage can comprises an image acquisition unit (2), a control unit (1), a motor driving unit (3) and a plurality of independent garbage collection boxes (4). The image acquisition unit (2) is used for capturing image information of garbage to be classified; the control unit (1) is used for judging the garbage type through an image recognition algorithm according to the image information and outputting a control signal; and the motor driving unit (3) is used for opening the garbage collection box (4) corresponding to the garbage type according to the control signal. According to the method, the convenience of people for accurately classifying the garbage is improved, the user does not need to master complex and numerous garbage classification knowledge and does not need to worry about germ transmission caused by contact with the garbage can, and the effect of reducing burden on the urban environment and garbage treatment is achieved.

Description

Technical Field

[0001] The present application relates to the field of garbage classification, and in particular to an intelligent classification garbage bin and a classification management method and storage medium. Background Art

[0002] How to maximize the utilization of waste resources, reduce the amount of waste disposal, and improve the quality of the living environment through waste classification management is one of the urgent issues that all countries in the world are currently concerned about. According to the unified standards formulated by the country, domestic waste is now widely divided into four categories, namely recyclables, kitchen waste, hazardous waste and other waste.

[0003] At present, the garbage stations in the community are basically composed of multiple garbage cans of various colors set up according to the garbage categories. Users need to judge the garbage categories by themselves and manually open the garbage cans to put them in. Most people lack comprehensive knowledge of garbage classification, and cannot accurately remember and judge what type of complex and numerous garbage belongs to, so as to accurately classify and discard them. In addition, users are resistant to direct contact with garbage cans, fearing the cross-transmission of germs. This puts a lot of pressure on the urban environment and garbage disposal. Therefore, how to enable people to conveniently and accurately classify garbage in daily life is an urgent problem to be solved in this field. Summary of the invention

[0004] In order to improve the convenience and accuracy of users in garbage classification, the present application provides an intelligent classification trash can and a classification management method and storage medium.

[0005] In the first aspect, the present application provides an intelligent classification trash can, which adopts the following technical solution: An intelligent classification trash can, comprising a control unit, an image acquisition unit, a motor drive unit and a plurality of independent trash collection boxes; The image acquisition unit is used to capture image information of the garbage to be classified; The control unit is used to determine the type of garbage through an image recognition algorithm according to the image information and output a control signal; The motor drive unit is used to open the garbage collection box corresponding to the garbage type according to the control signal.

[0006] By adopting the above technical solution, users do not need to touch the garbage collection box, nor do they need to judge by themselves which garbage collection box the garbage should be placed in. Image recognition determines the type of garbage to be classified and automatically opens the corresponding garbage collection box. Users only need to put the garbage into the opened garbage collection box. This greatly improves the convenience of accurately classifying garbage for people, without having to master complex garbage classification knowledge, or worry about the spread of germs caused by contact with garbage bins, reducing the burden on the urban environment and garbage disposal.

[0007] Optionally: the intelligent classification trash can further includes a division unit, and the division unit is used to visually present areas corresponding to various types of trash when the types of trash determined by the image information include at least two types.

[0008] Usually when throwing away garbage, the garbage to be classified contains multiple types of garbage, and multiple garbage collection bins will be opened at the same time. By adopting the above technical solution, the image information is divided according to the different types of garbage identified and presented to the user in a visual way, intuitively guiding the user to put the garbage of the corresponding type into the correct garbage bin, thereby further improving the practicality of the intelligent classification trash can.

[0009] Optionally, each of the garbage collection bins is set to a different color, and the classification unit marks the color of the garbage collection bin corresponding to the garbage type in the corresponding area according to the garbage type.

[0010] By adopting the above technical solution, different colors are set for garbage collection bins storing different types of garbage, and the classification unit projects the color of the garbage collection bin corresponding to the garbage type onto the garbage to be classified by projection, and the position and size of the projection area are determined according to the image information. This can more intuitively guide the user to put the garbage of the corresponding type into the correct garbage collection bin, avoiding errors in judging the corresponding relationship.

[0011] Optionally: the intelligent classification trash can further includes a capacity detection unit disposed in each of the trash collection boxes, the capacity detection unit being used to detect the amount of trash in the trash collection box, and outputting cleaning information when the amount of trash reaches a preset threshold; The motor drive unit is also used to preferentially open the garbage collection box storing the same type of garbage and corresponding to the smallest amount of garbage.

[0012] Depending on the type of garbage, the amount of garbage corresponding to each type of garbage is also different. Some types of garbage require multiple garbage collection boxes to store the garbage. By adopting the above technical solution, the amount of garbage stored in each garbage collection box is monitored in real time. The motor drive unit will give priority to opening the garbage collection box with the least amount of garbage of the same type of garbage, and when the amount of garbage in the garbage collection box reaches a preset threshold, it will output cleaning information to the mobile device of the manager, prompting timely replacement or cleaning.

[0013] Optionally: the intelligent classification trash can further includes an interaction unit, which is used to display the types of trash included in each trash collection bin and receive user feedback information; The control unit is further configured to optimize the image recognition algorithm according to the feedback information.

[0014] By adopting the above technical solution, the interactive unit can display the statistics of various types of garbage disposal and environmental protection tips to enhance the user's environmental awareness and participation. The interactive unit can also provide feedback when the user finds that the intelligent classification trash can guides the disposal of garbage in an incorrect way, which helps to improve the performance of the deep learning model in the image recognition task and provide more accurate disposal guidance tasks.

[0015] In the second aspect, the present application provides a classification management method for intelligent classification trash cans, which adopts the following technical solutions: The intelligent classification trash can includes a plurality of independent trash collection boxes, and the classification management method specifically includes the following steps: Collect image information of garbage to be classified; Determine the type of the garbage to be classified by an image recognition algorithm based on the image information; Output a control signal to open the garbage collection box corresponding to the garbage type.

[0016] Optionally, each of the garbage collection boxes is set to a different color; the garbage type of the garbage to be classified is determined by an image recognition algorithm based on the image information, and then the following steps are included: When the garbage types determined by the image information include at least two types, the color of the garbage collection box corresponding to the garbage type is marked on the garbage to be classified according to the image information and the garbage type.

[0017] Optionally, the output control signal turns on the garbage collection box corresponding to the garbage type, specifically comprising the following steps: Obtaining the amount of garbage in each of the garbage collection boxes in real time; Based on the control signal, the one of the garbage collection boxes storing the same type of garbage corresponding to the smallest amount of garbage is opened.

[0018] Optionally: the classification management method further includes the following steps: Receive user feedback; The image recognition algorithm is optimized based on the feedback information.

[0019] In a third aspect, the present application provides a computer-readable storage medium, which adopts the following technical solution: A computer-readable storage medium stores at least one instruction, at least one program, a code set or an instruction set, and the at least one instruction, the at least one program, the code set or the instruction set is loaded and executed by a processor to implement the classification management method of the above-mentioned intelligent classification trash can.

[0020] In summary, the present application includes at least one of the following beneficial technical effects: 1. Users do not need to touch the garbage collection bin. The smart classification trash can will automatically open the corresponding garbage collection bin according to the type of garbage, eliminating the hidden danger of cross-transmission of germs caused by touching the trash bin; 2. Users do not need to judge by themselves what kind of garbage collection bin the garbage should be placed in. Image recognition will determine the type of garbage to be classified. Users only need to put the garbage into the automatically opened garbage collection bin, which greatly improves the convenience of people accurately classifying garbage. Users do not need to master complicated and extensive knowledge of garbage classification. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 This is a structural block diagram of the intelligent classification trash can in Example 1 of the present application; Figure 2 This is a structural block diagram of the intelligent classification trash can in Example 2 of the present application; Figure 3 It is a flowchart of the classification management method in the embodiment of the present application; Figure 4 yes Figure 3 Additional flow chart after step S2 of the classification management method; Figure 5 yes Figure 3 The expanded flow chart of step S3 of the classification management method; Figure 6 yes Figure 3 Additional flow chart of the classification management method.

[0022] Explanation of the accompanying drawings: 1. control unit; 2. image acquisition unit; 3. motor drive unit; 4. garbage collection box; 5. division unit; 6. capacity detection unit; 7. interaction unit. DETAILED DESCRIPTION

[0023] To more clearly understand the purpose, technical solutions and advantages of the present application, the present application is described and illustrated below in conjunction with the accompanying drawings and embodiments. However, it should be understood by those of ordinary skill in the art that the present application can be implemented without these details. In some cases, in order to avoid unnecessary descriptions that make various aspects of the present application obscure, well-known methods, processes, systems, components and / or circuits that have been described at a higher level will not be described in detail. For those of ordinary skill in the art, it is obvious that various changes can be made to the embodiments disclosed in the present application, and without departing from the principles and scope of the present application, the general principles defined in the present application can be applied to other embodiments and application scenarios. Therefore, the present application is not limited to the embodiments shown, but conforms to the broadest scope consistent with the scope claimed for protection of the present application.

[0024] It should be noted that the description of these embodiments is used to help understand the present invention, but does not constitute a limitation of the present invention. In addition, the technical features involved in each embodiment of the present invention described below can be combined with each other as long as there is no conflict between them.

[0025] It should be understood that the embodiments described herein may be implemented in hardware, software, firmware, middleware, microcode, or any combination thereof. For hardware implementations, the processor may be implemented within one or more application specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field programmable gate arrays (FPGAs), processors, controllers, microcontrollers, microprocessors, other electronic units designed to perform the functions described herein, or a combination thereof.

[0026] When the embodiment is implemented with software, firmware, middleware or microcode, program code or code segment, it can be stored in a machine-readable medium such as a storage component. Code segment can represent any combination of process, function, subprogram, program, routine, subroutine, module, software package, class, or instruction, data structure or program statement. A code segment can be coupled to another code segment or hardware circuit by passing and / or receiving information, data, independent variables, parameters or memory contents. Information, independent variables, parameters, data, etc. can be passed, forwarded or transmitted using any suitable means (including memory sharing, message passing, token passing, network transmission, etc.).

[0027] For software implementation, the techniques described herein may be implemented using modules (e.g., procedures, functions, etc.) that perform the functions described herein. The software codes may be stored in a memory unit and executed by a processor. The memory unit may be implemented within the processor or external to the processor, in which case the memory unit may be communicatively coupled to the processor via various means known in the art.

[0028] In the description of this application, "several" means one or more, "more" means more than two, "greater than", "less than", "exceed", etc. are understood to exclude the number itself, and "above", "below", "within", etc. are understood to include the number itself. If there is a description of "first" or "second", it is only used to distinguish the technical features, and cannot be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features or implicitly indicating the order of the indicated technical features.

[0029] In the description of the present application, the description with reference to the terms "one embodiment", "some embodiments", "illustrative embodiments", "examples", "specific examples", or "some examples" means that the specific features, structures, materials, or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials, or characteristics described may be combined in any one or more embodiments or examples.

[0030] In order to enable those skilled in the art to understand the technical solution provided by the present application in detail, firstly, a brief description of the specific terms involved in the embodiments of the present application is given.

[0031] The embodiment of the present application discloses an intelligent classification trash can.

[0032] Example 1 like Figure 1 As shown, the intelligent classification trash can includes an image acquisition unit 2, a control unit 1, a motor drive unit 3 and a plurality of independent trash collection boxes 4.

[0033] The image acquisition unit 2 is used to capture image information of the garbage to be classified.

[0034] Specifically, the intelligent classification trash can can be provided with a placement platform for placing the garbage to be classified, and an image acquisition device for shooting the platform is provided above the placement platform. When the user puts the garbage, he first places the garbage to be put on the placement platform, and the image acquisition device captures the image information of the garbage to be put.

[0035] The control unit 1 is used to determine the type of garbage according to the image information through an image recognition algorithm and output a control signal.

[0036] Explanatory, the control unit 1 recognizes the captured image information of the garbage to be disposed, and can achieve high-precision recognition of the garbage to be classified through machine learning, neural network deep learning and other methods, determine the garbage category in the garbage classification rules corresponding to the garbage to be classified, and output a control signal, wherein the control signal includes the identified garbage category of the garbage to be classified.

[0037] The motor drive unit 3 is used to open the garbage collection box 4 corresponding to the garbage type according to the control signal.

[0038] Specifically, the motor drive unit 3 can control the opening and closing of each garbage collection box 4 respectively. The motor drive unit 3 is driven by the control signal to open the garbage collection box 4 corresponding to the garbage type contained therein, and then controls the garbage collection box 4 to close after a certain period of time or other sensor information.

[0039] The implementation principle is: when the user puts garbage, he first places the garbage to be put on the placement platform. The camera installed above the placement platform captures the image information of the garbage. After the control unit 1 receives the image information, it determines the type of garbage through the built-in image recognition algorithm, and outputs a control signal to control the motor drive unit 3 to open the entrance of the corresponding garbage collection box 4, so that the user can put the garbage into the corresponding collection box.

[0040] Example 2 like Figure 2 As shown, the difference between this embodiment and embodiment 1 is that the intelligent classification trash can also includes a partitioning unit 5, a capacity detection unit 6 and an interaction unit 7.

[0041] The dividing unit 5 is used for visually presenting areas corresponding to various types of garbage when the types of garbage determined by the image information include at least two types.

[0042] For illustration, usually the garbage thrown out at one time contains more than one type of garbage. At this time, the control signal output by the control unit 1 will drive the motor drive unit 3 to simultaneously open the garbage collection bins 4 of multiple garbage categories. The user still needs to determine which garbage collection bin 4 the garbage should be thrown into. Therefore, the identification and classification results are visually presented to the user to guide the user to classify and throw away the garbage.

[0043] In some embodiments, the visualization method is as follows: each garbage collection bin 4 corresponding to a different garbage category is set to a different color, and the division unit 5 can be provided with a projection device above the placement platform, and the garbage to be classified is projected in the corresponding area with the color of the corresponding garbage category according to the image information of the garbage to be classified and the division result. The user can put the garbage of different garbage categories into the garbage collection bin 4 in turn according to the projected color.

[0044] The capacity detection unit 6 is arranged in each garbage collection box 4, and is used to detect the amount of garbage in the corresponding garbage collection box 4, and output cleaning information when the garbage amount reaches a preset threshold. It can send a signal to the mobile device of the manager through a wireless communication device, prompting to replace the garbage collection box 4 in time.

[0045] Among them, different numbers of garbage collection boxes 4 are set according to the amount of garbage in each garbage category, such as two garbage collection boxes 4 for storing recyclable garbage, four garbage collection boxes 4 for storing kitchen waste, and one garbage collection box 4 for storing other garbage.

[0046] The motor drive unit 3 is also used to preferentially open the garbage collection box 4 storing the same type of garbage with the smallest amount of garbage.

[0047] The interactive unit 7 is used to display the types of garbage contained in each garbage collection box 4 and receive user feedback information.

[0048] Specifically, a touch screen can be set somewhere in the smart classification trash can to display statistical data of various types of garbage, environmental protection tips and other information to enhance the user's environmental awareness and participation. The user can also correct or supplement the garbage type determined by the control unit 1 through the touch screen.

[0049] The control unit 1 is also used to optimize the image recognition algorithm according to the feedback information.

[0050] The embodiment of the present application also discloses a classification management method for an intelligent classification trash can, which includes a plurality of independent trash collection boxes 4.

[0051] Reference Figure 3 , the classification management method specifically includes the following steps: S1: Collect image information of garbage to be classified.

[0052] S2: Determine the type of garbage to be classified through image recognition algorithm based on image information.

[0053] In some embodiments, each garbage collection box 4 is set to a different color, such as Figure 4 As shown, the classification management method also includes the following steps: S21: When the garbage types determined by the image information include at least two, the color of the garbage collection box 4 corresponding to the garbage type is marked on the garbage to be classified according to the image information and the garbage type.

[0054] S3: Output a control signal to open the garbage collection box 4 corresponding to the garbage type.

[0055] like Figure 5 As shown, step S3 specifically includes the following steps: S31: Obtain the amount of garbage in each garbage collection box 4 in real time.

[0056] S32: Based on the control signal, open the garbage collection box 4 storing the same type of garbage, which has the smallest amount of garbage.

[0057] In other embodiments, Figure 6 As shown, the classification management method also includes the following steps: S4: receiving user feedback information; S5: Optimize the image recognition algorithm based on the feedback information.

[0058] The other functions performed by each unit in the intelligent classification trash can described above and the technical details of each function are the same or similar to the corresponding features in the classification management method of the above-mentioned intelligent classification trash can, so they will not be repeated here.

[0059] The embodiment of the present application also discloses a computer-readable storage medium. The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the classification management method of the above-mentioned intelligent classification trash can are implemented.

[0060] The computer-readable storage medium may include: a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, and other media that can store program codes.

[0061] It should be understood that although the steps in the flowchart of the accompanying drawings are shown in sequence according to the instructions of the arrows, these steps are not necessarily performed in the order indicated by the arrows. Unless otherwise clearly stated in this document, the execution of these steps is not strictly limited in order and can be performed in other orders.

[0062] The above are all preferred embodiments of the present application, and the protection scope of the present application is not limited thereto. Therefore, any equivalent changes made according to the structure, shape, and principle of the present application should be included in the protection scope of the present application.

Claims

1. An intelligent classification trash can, characterized in that: It comprises an image acquisition unit (2), a control unit (1), a motor drive unit (3), and a plurality of independent garbage collection boxes (4); The image acquisition unit (2) is used to capture image information of the garbage to be classified; The control unit (1) is used to determine the type of garbage based on the image information through an image recognition algorithm and output a control signal; The motor drive unit (3) is used to open the garbage collection box (4) corresponding to the garbage type according to the control signal.

2. The intelligent classification trash can according to claim 1 is characterized in that: The intelligent classification trash can further comprises a division unit (5), wherein the division unit (5) is used to visually present areas corresponding to various types of trash when the types of trash determined by the image information include at least two types.

3. The intelligent classification trash can according to claim 2 is characterized by: Each of the garbage collection boxes (4) is set to a different color, and the classification unit (5) marks the color of the garbage collection box (4) corresponding to the garbage type in the corresponding area of ​​the garbage to be classified according to the garbage type.

4. The intelligent classification trash can according to claim 1 is characterized in that: The intelligent classification trash can further comprises a capacity detection unit (6) arranged in each of the trash collection boxes (4), the capacity detection unit (6) being used to detect the amount of trash in the trash collection box (4), and outputting cleaning information when the amount of trash reaches a preset threshold; The motor drive unit (3) is also used to preferentially open the garbage collection box (4) storing the same type of garbage that has the smallest amount of garbage.

5. The intelligent classification trash can according to claim 1 is characterized in that: The intelligent classification trash can further comprises an interaction unit (7), wherein the interaction unit (7) is used to display the types of trash included in each of the trash collection boxes (4) and to receive user feedback information; The control unit (1) is also used to optimize the image recognition algorithm according to the feedback information.

6. The classification management method of the intelligent classification trash can according to any one of claims 1 to 5, characterized in that: The intelligent classification trash can comprises a plurality of independent trash collection boxes (4), and the classification management method specifically comprises the following steps: Collect image information of garbage to be classified; Determine the type of the garbage to be classified by an image recognition algorithm based on the image information; The output control signal opens the garbage collection box (4) corresponding to the garbage type.

7. The classification management method according to claim 6, characterized in that: Each of the garbage collection boxes (4) is set to a different color; the garbage type of the garbage to be classified is determined by an image recognition algorithm based on the image information, and then the following steps are included: When the garbage types determined by the image information include at least two types, the color of the garbage collection box (4) corresponding to the garbage type is marked on the garbage to be classified according to the image information and the garbage type.

8. The classification management method according to claim 6, characterized in that: The output control signal turns on the garbage collection box (4) corresponding to the garbage type, specifically comprising the following steps: Obtaining in real time the amount of garbage in each of the garbage collection boxes (4); Based on the control signal, one of the garbage collection boxes (4) storing the same type of garbage corresponding to the smallest amount of garbage is opened.

9. The classification management method according to claim 6, characterized in that: The classification management method also includes the following steps: Receive user feedback; The image recognition algorithm is optimized based on the feedback information.

10. A computer-readable storage medium, characterized in that: The storage medium stores at least one instruction, at least one program, a code set or an instruction set, and the at least one instruction, the at least one program, the code set or the instruction set is loaded and executed by the processor to implement the classification management method of the intelligent classification trash can as described in any one of claims 6-9.

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