A smart waste sorting bin, a sorting management method, and a storage medium

Abstract

This application relates to an intelligent sorting trash can and a sorting management method and storage medium. The intelligent sorting trash can includes an image acquisition unit (2), a control unit (1), a motor drive unit (3), and multiple independent trash collection bins (4). The image acquisition unit (2) is used to capture image information of the trash to be sorted. The control unit (1) is used to determine the type of trash based on the image information using an image recognition algorithm and output a control signal. The motor drive unit (3) is used to open the trash collection bin (4) corresponding to the type of trash based on the control signal. This application improves the convenience of accurate trash sorting for people. Users do not need to master complex and numerous trash sorting knowledge, nor do they need to worry about the spread of germs caused by contact with trash cans. It has the effect of reducing the burden on the urban environment and trash disposal.

Description

Technical Field

[0001] This application relates to the field of waste sorting, and in particular to an intelligent waste sorting bin, a sorting management method, and a storage medium. Background Technology

[0002] How to maximize the utilization of waste resources, reduce waste disposal volume, and improve the quality of the living environment through waste sorting and management is one of the most pressing issues of common concern to countries around the world. According to unified national standards, household waste is now widely divided into four categories: recyclables, kitchen waste, hazardous waste, and other waste.

[0003] Currently, community waste collection points typically consist of multiple colored bins categorized by waste type. Users must manually identify the type of waste and open the bins to dispose of it. Most people lack comprehensive knowledge of waste sorting, and are unable to accurately remember and determine the different types of waste for proper disposal. Furthermore, users are reluctant to directly handle waste bins, fearing cross-contamination of germs. This places significant pressure on the urban environment and waste management. Therefore, how to enable convenient and accurate waste sorting in daily life is a pressing issue that needs to be addressed. Summary of the Invention

[0004] To improve the convenience and accuracy of users when sorting garbage, this application provides an intelligent sorting garbage bin, a sorting management method, and a storage medium.

[0005] Firstly, this application provides an intelligent sorting trash can, which adopts the following technical solution: A smart sorting trash can includes a control unit, an image acquisition unit, a motor drive unit, and multiple independent trash collection bins; The image acquisition unit is used to capture image information of the waste to be sorted; The control unit is used to determine the type of waste based on the image information using an image recognition algorithm, and output a control signal; The motor drive unit is used to open the garbage collection bin corresponding to the garbage type according to the control signal.

[0006] By adopting the above technical solution, users no longer need to touch the garbage collection bins or determine which bin to place their garbage in. Image recognition identifies the type of garbage to be sorted and automatically opens the corresponding bin. Users simply need to place the garbage into the opened bin. This greatly improves the convenience of accurate garbage sorting, eliminating the need to master complex and extensive garbage sorting knowledge and the worry about the spread of germs from touching garbage bins, thus reducing the burden on the urban environment and garbage disposal.

[0007] Optionally, the intelligent sorting trash can further includes a division unit, which is used to visually present the areas corresponding to each type of trash when the trash type determined by the image information includes at least two types.

[0008] Typically, when disposing of trash, there are multiple types of waste to be sorted, and multiple trash collection bins are opened simultaneously. By adopting the above-mentioned technical solution, the image information is divided according to the different types of waste identified and presented to the user in a visual way, which intuitively guides the user to put the corresponding type of waste into the correct trash bin, thereby further improving the practicality of smart sorting trash cans.

[0009] Optionally, each of the waste collection bins is set to a different color, and the dividing unit marks the waste to be classified in the corresponding area according to the waste type, indicating the color of the waste collection bin corresponding to the waste type.

[0010] By adopting the above technical solution, different colors are used for waste collection bins that store different types of waste. The dividing unit projects the color of the corresponding waste collection bin onto the waste to be sorted. The position and size of the projection area are determined based on image information. This provides a more intuitive guide for users to put the corresponding type of waste into the correct waste collection bin, avoiding errors in matching.

[0011] Optionally: The intelligent sorting trash can also include a capacity detection unit installed in each of the trash collection bins. The capacity detection unit is used to detect the amount of trash in the trash collection bin and outputs cleaning information when the amount of trash reaches a preset threshold. The motor drive unit is also used to prioritize opening the garbage collection bin with the smallest amount of garbage among those storing the same type of garbage.

[0012] Depending on the type of waste, the required waste disposal volume varies, and some waste types require multiple collection bins. By employing the aforementioned technical solution, the amount of waste in each collection bin is monitored in real time. The motor drive unit prioritizes opening the collection bin with the lowest waste volume for that type of waste. When the waste volume in any collection bin reaches a preset threshold, a cleaning message is sent to the administrator's mobile device, prompting timely replacement or cleaning.

[0013] Optionally: The intelligent sorting trash can also include an interactive unit, which is used to display the types of trash included in each trash collection bin and to receive user feedback information; The control unit is also used to optimize the image recognition algorithm based on the feedback information.

[0014] By adopting the above technical solution, the interactive unit can display statistical data on various types of waste disposal and environmental protection tips to enhance users' environmental awareness and participation. It can also provide feedback through the interactive unit when users find errors in the intelligent waste sorting bin's disposal guidance, helping to improve the performance of deep learning models in image recognition tasks and provide more accurate disposal guidance.

[0015] Secondly, this application provides a classification management method for intelligent sorting trash cans, employing the following technical solution: The intelligent sorting trash can includes multiple independent trash collection bins, and the sorting management method specifically includes the following steps: Collect image information of waste to be sorted; Based on the image information, the type of waste to be classified is determined using an image recognition algorithm; Output a control signal to open the waste collection bin corresponding to the waste type.

[0016] Optionally: each of the waste collection bins is set to a different color; the step of determining the type of waste to be sorted based on image information using an image recognition algorithm further includes the following steps: When the image information determines that the waste type includes at least two types, the color of the waste collection bin corresponding to the waste type is marked on the waste to be classified according to the image information and the waste type.

[0017] Optionally: The output control signal activates the waste collection bin corresponding to the waste type, specifically including the following steps: Real-time acquisition of the amount of waste in each of the aforementioned waste collection bins; Based on the control signal, the garbage collection bin containing the smallest amount of garbage of the same type is activated.

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

[0019] Thirdly, this application provides a computer-readable storage medium, which adopts the following technical solution: A computer-readable storage medium storing a program that is loaded and executed by a processor to implement the above-described intelligent sorting trash can sorting management method.

[0020] In summary, this application includes at least one of the following beneficial technical effects: 1. Users do not need to touch the garbage collection bins. The smart sorting garbage bins will automatically open the corresponding garbage collection bins according to the type of garbage, eliminating the risk of cross-infection of germs caused by touching the garbage bins; 2. Users do not need to determine which garbage bin to put their garbage in. Image recognition determines the type of garbage to be sorted. Users only need to put the garbage into the automatically opening garbage bin, which greatly improves the convenience of accurate garbage sorting. Users do not need to master complicated and numerous garbage sorting knowledge. Attached Figure Description

[0021] Figure 1 This is a structural block diagram of the intelligent sorting trash can in Embodiment 1 of this application; Figure 2 This is a structural block diagram of the intelligent sorting trash can in Embodiment 2 of this application; Figure 3 This is a flowchart of the classification management method in the embodiments of this application; Figure 4 yes Figure 3 Additional flowchart following step S2 of the classification management method; Figure 5 yes Figure 3 The flowchart of step S3 in the classification management method; Figure 6 yes Figure 3 Additional flowchart of the classification management method.

[0022] Explanation of reference numerals in the attached diagram: 1. Control unit; 2. Image acquisition unit; 3. Motor drive unit; 4. Waste collection bin; 5. Dividing unit; 6. Capacity detection unit; 7. Interaction unit. Detailed Implementation

[0023] To better understand the purpose, technical solutions, and advantages of this application, it has been described and illustrated below with reference to the accompanying drawings and embodiments. However, those skilled in the art should understand that this application can be implemented without these details. In some cases, to avoid obscuring various aspects of this application due to unnecessary description, well-known methods, processes, systems, components, and / or circuits already described at a higher level will not be elaborated upon. It will be apparent to those skilled in the art that various modifications can be made to the embodiments disclosed in this application, and the general principles defined in this application can be applied to other embodiments and application scenarios without departing from the principles and scope of this application. Therefore, this application is not limited to the illustrated embodiments, but conforms to the broadest scope consistent with the scope of protection claimed in this application.

[0024] It should be noted that the descriptions of these embodiments are for the purpose of aiding understanding the present invention, but do not constitute a limitation thereof. Furthermore, the technical features involved in the various embodiments of the present invention described below can be combined with each other as long as they do not conflict with each other.

[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 as 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 combinations thereof.

[0026] When an embodiment is implemented as software, firmware, middleware, or microcode, program code, or code segments, it may be stored in a machine-readable medium, such as a storage component. A code segment may represent a procedure, function, subroutine, program, routine, subroutine, module, software package, class, or any combination of instructions, data structures, or program statements. One code segment can be coupled to another code segment or hardware circuitry by passing and / or receiving information, data, arguments, parameters, or memory contents. Information, arguments, parameters, data, etc., can be passed, forwarded, or transmitted using any suitable means, including memory sharing, messaging, token passing, network transmission, etc.

[0027] For software implementations, the techniques described herein can be implemented using modules (e.g., programs, functions, etc.) that perform the functions described herein. The software code can be stored in memory units and executed by a processor. The memory units can be implemented within or outside the processor; in the latter case, the memory units can be communicatively coupled to the processor via various methods known in this art.

[0028] In the description of this application, "several" means one or more, "more than" means two or more, "greater than," "less than," and "exceeding" are understood to exclude the stated number, while "above," "below," and "within" are understood to include the stated number. The use of "first" and "second" in the description is merely for distinguishing technical features and should not be construed as indicating or implying relative importance, or implicitly indicating the number of indicated technical features, or implicitly indicating the order of the indicated technical features.

[0029] In the description of this application, the terms "one embodiment," "some embodiments," "illustrative embodiment," "example," "specific example," or "some examples," etc., refer to specific features, structures, materials, or characteristics described in connection with that embodiment or example, which are included in at least one embodiment or example of this application. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any one or more embodiments or examples.

[0030] To enable those skilled in the art to fully understand the technical solutions provided in this application, a brief explanation of the specific terms involved in the embodiments of this application will be given first.

[0031] This application discloses an intelligent sorting trash can.

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

[0033] Image acquisition unit 2 is used to capture image information of the waste to be sorted.

[0034] Specifically, smart sorting trash cans can be equipped with a placement platform for placing trash to be sorted. An image acquisition device is installed above the placement platform to capture the image information of the trash. When users dispose of trash, they first place the trash to be disposed of on the placement platform, and the image acquisition device captures the image information of the trash to be disposed of.

[0035] Control unit 1 is used to determine the type of waste based on image information using an image recognition algorithm and output control signals.

[0036] Interpretive, the control unit 1 will identify the image information of the captured garbage to be disposed of. It can achieve high-precision identification 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 control signals, including the garbage category identified in the control signals.

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

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

[0039] The implementation principle is as follows: When a user disposes of garbage, he or she first places the garbage on the placement platform. The camera installed above the placement platform captures the image information of the garbage. After receiving the image information, the control unit 1 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 bin 4 so that the user can put the garbage into the corresponding collection bin.

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

[0041] The segmentation unit 5 is used to visualize the regions corresponding to various types of garbage when the garbage types identified by the image information include at least two.

[0042] For illustrative purposes, a single waste disposal typically contains waste of more than one type. In this case, the control signal output by the control unit 1 will drive the motor drive unit 3 to simultaneously open the waste collection bins 4 for multiple waste types. The user still needs to determine which waste should be disposed of in which waste collection bin 4. Therefore, the identification and classification results are visualized and presented to the user to guide the user in sorting and disposing of waste.

[0043] In some embodiments, the visualization is presented as follows: the garbage collection bins 4 corresponding to different garbage categories are set to different colors, the division unit 5 can be equipped with a projection device above the placement platform, and the garbage to be classified is projected in the corresponding area according to the image information of the garbage to be classified and the division results, so that the garbage to be classified can be placed in the garbage collection bins 4 in the corresponding areas according to the projected colors.

[0044] The capacity detection unit 6 is installed in each garbage collection bin 4 to detect the amount of garbage in the corresponding garbage collection bin 4. When the amount of garbage reaches a preset threshold, it outputs cleaning information and can send a signal to the mobile device of the management personnel through a wireless communication device to prompt timely replacement of the garbage collection bin 4.

[0045] The number of garbage collection bins 4 varies according to the amount of garbage in each category. For example, there are two garbage collection bins 4 for storing recyclable garbage, four garbage collection bins 4 for storing kitchen waste, and one garbage collection bin 4 for storing other garbage.

[0046] The motor drive unit 3 is also used to prioritize opening the garbage collection bin 4 containing the smallest amount of garbage of the same type.

[0047] The interactive unit 7 is used to display the types of waste included in each waste collection bin 4, and to receive user feedback.

[0048] Specifically, a touch screen can be installed at a certain location in the smart sorting trash can. The touch screen displays statistical data on the disposal of various types of trash, environmental tips, and other information to enhance users' environmental awareness and participation. Users can also use the touch screen to correct or supplement the type of trash determined by the control unit 1.

[0049] Control unit 1 is also used to optimize the image recognition algorithm based on feedback information.

[0050] This application also discloses a classification management method for intelligent sorting trash cans, wherein the intelligent sorting trash cans include multiple independent trash collection bins 4.

[0051] Reference Figure 3 The classification management method specifically includes the following steps: S1: Collect image information of the waste to be sorted.

[0052] S2: Based on image information, the image recognition algorithm determines the type of waste to be classified.

[0053] In some embodiments, each garbage collection bin 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 image information indicates that there are at least two types of waste, the color of the waste collection bin 4 corresponding to the waste type is marked on the waste to be classified according to the image information and the waste type.

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

[0055] like Figure 5 As shown, step S3 specifically includes the following steps: S31: Real-time acquisition of the amount of garbage in each garbage collection bin 4.

[0056] S32: Based on the control signal, open the garbage collection bin 4 containing the smallest amount of garbage of the same type.

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

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

[0059] This application also discloses a computer-readable storage medium. The computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps of the above-described intelligent sorting trash can classification management method.

[0060] The computer-readable storage medium may include various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0061] It should be understood that although the steps in the flowcharts in the accompanying drawings are shown sequentially as indicated by the arrows, these steps are not necessarily performed in the order indicated by the arrows. Unless otherwise expressly stated herein, there is no strict order in which these steps are performed, and they may be performed in other orders.

[0062] The above are all preferred embodiments of this application, and are not intended to limit the scope of protection of this application. Therefore, all equivalent changes made in accordance with the structure, shape and principle of this application should be covered within the scope of protection of this application.

Claims

1. An intelligent sorting garbage can, characterized in that, It includes an image acquisition unit (2), a control unit (1), a motor drive unit (3), and multiple independent waste collection bins (4); The image acquisition unit (2) is used to capture image information of the waste to be sorted; The control unit (1) is used to determine the type of waste based on the image information using an image recognition algorithm and output a control signal; The motor drive unit (3) is used to open the garbage collection bin (4) corresponding to the garbage type according to the control signal. The intelligent sorting trash can also includes a division unit (5), which is used to visually present the areas corresponding to various types of trash when the trash types determined by the image information include at least two types. The intelligent sorting trash can is equipped with a platform for placing trash to be sorted. Above the platform is an image acquisition device that captures image information of the trash to be disposed of. The garbage collection bins (4) corresponding to different garbage categories are set to different colors. The division unit (5) is set with a projection device above the placement platform. Based on the image information of the garbage to be classified and the division results, the garbage to be classified is projected in the corresponding area with the color of the corresponding garbage category, so as to guide the user to put the garbage of different categories into the garbage collection bins (4) in turn according to the projected color.

2. The intelligent sorting trash can according to claim 1, characterized in that: The intelligent sorting trash can also includes a capacity detection unit (6) installed in each of the trash collection bins (4). The capacity detection unit (6) is used to detect the amount of trash in the trash collection bin (4) and outputs 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 bin (4) containing the garbage of the same type with the smallest corresponding amount of garbage.

3. The smart sorting trash can of claim 1, wherein: The intelligent sorting trash can also includes an interactive unit (7), which is used to display the types of trash included in each of the trash collection bins (4) and to receive user feedback information; The control unit (1) is also used to optimize the image recognition algorithm based on the feedback information. 4.The method of claim 1-3, wherein, The intelligent sorting trash can includes multiple independent trash collection bins (4), and the sorting management method specifically includes the following steps: Collect image information of waste to be sorted; Based on the image information, the type of waste to be classified is determined using an image recognition algorithm; Output control signal to open the garbage collection bin (4) corresponding to the type of garbage.

5. The classification management method according to claim 4, characterized by: Each of the aforementioned garbage collection bins (4) is set to a different color; the process of determining the type of garbage to be classified based on image information using an image recognition algorithm further includes the following steps: When the image information determines that the type of waste includes at least two types, the color of the waste collection bin (4) corresponding to the type of waste is indicated on the waste to be classified according to the image information and the type of waste.

6. The management method of classification according to claim 4, characterized in that, The output control signal activates the waste collection bin (4) corresponding to the waste type, specifically including the following steps: The amount of garbage in each of the garbage collection bins (4) is obtained in real time; Based on the control signal, the garbage collection bin (4) containing the garbage of the same type will be opened, and the bin with the smallest amount of garbage will be opened.

7. The classification management method according to claim 4, characterized in that, The classification management method also includes the following steps: Receive user feedback information; The image recognition algorithm is optimized based on the feedback information.

8. A computer-readable storage medium, characterized in that, The storage medium stores a program, which is loaded and executed by a processor to implement the classification management method of the intelligent sorting trash can as described in claim 4.

Images