Integral type garbage classification recycling method, classification method and system

Abstract

The invention discloses an integral type garbage classification recovery method, classification method and system, the garbage classification system comprises a garbage recovery device and a garbage classification device, and the garbage recovery device executes the integral type garbage classification recovery method to recover garbage. The garbage classification device executes the integral type garbage classification method to classify the garbage. When the garbage classification recycling system recycles garbage, the garbage recycling device detects the two-dimensional code of the garbage bag to record garbage thrown by a user after classification, and then the garbage classification device performs classification verification on the garbage thrown by the user; and the final score of the user is determined according to the correct score and the wrong score of the classification verification, so that the user is effectively prevented from defrauding the score by taking the unclassified garbage as the classified garbage, and the enthusiasm of the user on garbage classification is improved.

Description

Technical Field

[0001] The present invention relates to the field of environmental sanitation technology, and in particular to an integral garbage classification and recycling method, a classification method and a system. Background Art

[0002] Garbage classification is a reform of the traditional way of garbage collection and disposal, and a scientific management method for the effective disposal of garbage. Faced with the increasing garbage production and deteriorating environmental conditions, how to maximize the utilization of garbage resources, reduce the amount of garbage disposal, and improve the quality of the living environment through garbage classification management is one of the urgent issues of common concern to all countries in the world. However, at present, there are still problems with the participation and accuracy of classification of domestic residents in the classification of domestic garbage. In order to solve this problem, the existing method is to increase the enthusiasm of users through rewards. Garbage is put in garbage bags when it is put out. However, due to insufficient supervision and the complex and diverse types of garbage, it is impossible to effectively distinguish whether the user has sorted the garbage in the garbage bag. Some users put unsorted garbage as sorted garbage into the garbage sorting and recycling device, and also received points rewards, which affected the user's enthusiasm for garbage sorting. Summary of the invention

[0003] In order to solve the existing problem of whether the garbage put in by users is classified, the present invention provides an integral garbage classification and recycling method, a classification method and a system. The specific technical solution of the present invention is as follows: A point-based garbage classification and recycling method, the method comprising the following steps: S1: a garbage recycling device acquires a face image of a target user through a camera, then matches the acquired face image with the face image of a saved account, and logs in to the target account corresponding to the matched face image; S2: the garbage recycling device receives a garbage type signal input by the target user, opens the opening of the corresponding garbage bin according to the garbage type signal, then acquires a QR code on a garbage bag through a camera, and records the weight of the garbage bag; S3: the garbage recycling device adds corresponding pending points to the target account according to the weight of the garbage bag, then transmits the corresponding garbage bag to a garbage classification device, so that the garbage classification device verifies the type of garbage in the garbage bag; S4: the garbage recycling device receives the verification points and verification images sent by the garbage classification device, then calculates the actual points based on the pending points and the verification points, then adds the actual points to the total points of the target account, and sends the actual points, total points and verification image to the APP end of the target user.

[0004] Furthermore, in step S1, the garbage collection device matches the acquired facial image with the facial image of the saved account, including the following steps: the garbage collection device pre-receives a command from the target user to create a target account, then acquires several facial images of the target user through a camera, and then constructs a facial matching model based on the several facial images through a convolutional neural network; after the garbage collection device receives the login command input by the target user, it acquires the facial image of the current target user through the camera, and then matches the current facial image with the saved facial matching model; the garbage collection device uses the account corresponding to the facial matching model with the highest matching degree and a matching degree greater than or equal to a set value as the target account of the current target user, and logs in to the target account; if the matching degree of the facial matching model with the highest matching degree is less than the set value, the garbage collection device re-acquires the facial image of the current target user for matching.

[0005] Further, in step S2, the garbage recovery device opens the opening of the corresponding garbage bin according to the garbage type signal, including the following steps: the garbage recovery device receives the garbage type signal input by the target user, and then opens the entrance of the garbage bin corresponding to the garbage type signal; the garbage recovery device controls the camera to work, and sends a signal to the target user through a speaker to allow garbage disposal, and then obtains the QR code on the garbage bag through the camera and records the weight of the garbage bag; after the garbage recovery device receives the signal input by the target user to end the current type of garbage disposal or after a first set time, the garbage recovery device closes the current garbage bin, and then asks the target user through the speaker whether there are other types of garbage to be disposed; if the target user inputs a signal to dispose of other types of garbage, the garbage recovery device opens the opening of the corresponding garbage bin; if the target user does not input a signal to dispose of other types of garbage, the garbage recovery device exits the current target account after receiving the signal from the target user to end disposal or after a second set time.

[0006] Further, in step S3, the garbage recycling device adds corresponding pending points to the target account according to the weight of the garbage bag, including the following steps: the garbage recycling device obtains the weight of the garbage in the current garbage bin before opening the opening of the garbage bin, and sets it as the first weight; the garbage recycling device obtains the weight of the garbage in the current garbage bin after closing the opening of the garbage bin, and sets it as the second weight; the garbage recycling device subtracts the first weight from the second weight to obtain the weight of the garbage bag, and then uses the numerical value of the weight of the garbage bag as the pending points; the garbage recycling device displays the type of garbage thrown by the user, the garbage weight corresponding to the garbage type, and the pending points corresponding to the garbage weight to the user, and after waiting for the user to confirm, stores the pending points in the user's target account; wherein the unit of the weight is kg.

[0007] Further, in step S4, the garbage collection device calculates the actual integral based on the pending integral and the verification integral, including the following steps: the garbage collection device divides the correct integral in the verification integral by the erroneous integral to obtain the integral ratio; wherein the verification integral is equal to the sum of the correct integral and the erroneous integral, and the pending integral is equal to the verification integral; the garbage collection device calculates the product of the pending integral and the integral ratio, and then uses the product of the pending integral and the integral ratio as the actual integral.

[0008] A point-based garbage classification method, the method comprising the following steps: a garbage classification device identifies a QR code in a garbage bag, determines the garbage type of the garbage bag according to the QR code in the garbage bag, and then delivers the garbage bag to a sanitation worker, so that the sanitation worker classifies the garbage in the garbage bag and places the classified garbage on a weighing platform of the garbage type to which the garbage classification device belongs; the garbage classification device determines the correct integral and the incorrect integral of the garbage bag according to the garbage type to which the weighing platform belongs and the garbage type of the garbage bag, takes a photo of the garbage on the weighing platform, and then sends the image data of the garbage bag, the correct integral and the incorrect integral to a garbage recycling device.

[0009] Furthermore, the garbage classification device determines the correct integral and the incorrect integral of the garbage bag, including the following steps: the garbage classification device obtains the garbage type to which the weighing platform belongs, and then determines whether the garbage type to which the weighing platform belongs is the same as the garbage type of the garbage bag, and then weighs and photographs the garbage on the weighing platform; if the garbage type to which the weighing platform belongs is the same as the garbage type of the garbage bag, the garbage classification device uses the current garbage weight on the weighing platform as the correct integral, and marks the name of the acquired garbage image as the garbage type of the current weighing platform; if the garbage type to which the weighing platform belongs is different from the garbage type of the garbage bag, the garbage classification device uses the current garbage weight on the weighing platform as the misplaced integral, and marks the name of the acquired garbage image as the garbage type of the current weighing platform; the garbage classification device packages the QR code, correct integral, incorrect integral and garbage image of the garbage bag into a data packet and sends it to the garbage recycling device.

[0010] Furthermore, before starting to work, the garbage sorting device first obtains the facial image of the sanitation worker through the camera, then matches the obtained facial image with the facial image of the saved account, and logs in to the target account corresponding to the matched sanitation worker; after the garbage sorting device determines the correct points and incorrect points of the garbage bag, the incorrect points are stored as classification points in the target account of the sanitation worker who sorts the garbage bag.

[0011] A garbage classification and recycling system, the garbage classification system includes a garbage recycling device and a garbage classification device, the garbage recycling device executes the above-mentioned integral garbage classification and recycling method to recycle garbage, and the garbage classification device executes the above-mentioned integral garbage classification method to classify garbage; the garbage recycling device includes a camera, a display screen, a speaker and several garbage bins; the garbage classification device includes a camera and several weighing platforms.

[0012] Compared with the existing technology, the beneficial effect of the present invention is that when recycling garbage, the garbage classification and recycling system described in the present application first detects the QR code of the garbage bag through the garbage recycling device to record the garbage placed by the user after classification, and then uses the garbage classification device to classify and verify the garbage placed by the user, and determines the user's final points based on the correct points and incorrect points of the classification verification, effectively preventing users from using unclassified garbage as classified garbage to defraud points, and improving users' enthusiasm for garbage classification. After the garbage classification device completes the garbage classification, it will take an image of the garbage and mark the corresponding garbage type, and then send it to the user, so as to improve the user's understanding of the garbage type and enable the user to classify the garbage more accurately. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] Figure 1 It is a schematic diagram of the process of a garbage collection device in an embodiment of the present invention. DETAILED DESCRIPTION

[0014] Embodiments of the present invention are described in detail below, and examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions.

[0015] In the description of the present invention, it should be noted that directional words, such as the terms "center", "lateral", "longitudinal", "length", "width", "thickness", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", "clockwise", "counterclockwise", etc., indicating directions and positional relationships are based on the directions or positional relationships shown in the accompanying drawings, which are only for the convenience of narrating the present invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and cannot be understood as limiting the specific scope of protection of the present invention.

[0016] In addition, the terms "first" and "second" are only used for descriptive purposes and cannot be understood as indicating or implying relative importance or implicitly indicating the number of technical features. Therefore, the definition of "first" and "second" features can explicitly or implicitly include one or more of the features. In the description of the present invention, "at least" means one or more, unless otherwise clearly and specifically defined.

[0017] In the present invention, unless otherwise specified and limited, the terms "assemble", "connect", and "connection" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can also be a mechanical connection; it can be directly connected, or it can be connected through an intermediate medium, or the two elements can be internally connected. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0018] In the invention, unless otherwise specified and limited, a first feature being “above” or “below” a second feature may include that the first and second features are in direct contact, or may include that the first and second features are not in direct contact but are in contact through another feature between them. Moreover, a first feature being “above”, “below”, and “above” a second feature includes that the first feature is directly above or obliquely above the second feature, or simply means that the first feature is higher in level than the second feature. A first feature being “above”, “below”, and “below” a second feature includes that the first feature is directly below or obliquely below the second feature, or simply means that the first feature is lower in level than the second feature.

[0019] The following is a further description of the specific embodiments of the present invention in conjunction with the drawings of the specification, so that the technical solution and its beneficial effects of the present invention are clearer and more explicit. The following description of the embodiments with reference to the drawings is exemplary and intended to explain the present invention, but cannot be understood as limiting the present invention.

[0020] like Figure 1As shown, a method for integrating garbage classification and recycling includes the following steps: S1: The garbage recycling device obtains the face image of the target user through a camera, then matches the obtained face image with the face image of the saved account, and logs in the target account corresponding to the matched face image. The user can also log in to the target account through a mobile phone number, and the target account is pre-registered on the garbage recycling device by the user through the face image or / and the user's mobile phone number. S2: The garbage recycling device receives the garbage type signal input by the target user, and opens the opening of the corresponding garbage bin according to the garbage type signal, and then obtains the QR code on the garbage bag through the camera, and records the weight of the garbage bag. When throwing garbage, the user enters the type of garbage to be thrown on the display screen of the garbage recycling device, and the garbage recycling device opens the opening of the garbage bin corresponding to the garbage type, and then reminds the user to scan the code to throw it, so that the user scans the QR code on the garbage bag full of garbage, and then throws it into the garbage bin, and the garbage recycling device weighs the thrown garbage bag. S3: The garbage recycling device adds the corresponding pending points to the target account according to the weight of the garbage bag, and then transmits the corresponding garbage bag to the garbage classification device, so that the garbage classification device verifies the type of garbage in the garbage bag. The pending points are calculated based on the weight of the garbage thrown by the user. The heavier the garbage thrown by the user, the more pending points. The garbage recycling device has not yet verified the garbage in the garbage bag, so the pending points will not be directly added to the total points of the user's target account. After the garbage recycling device verifies the garbage in the garbage bag, it will increase or decrease the pending points according to the verification results, and then summarize them into the total points of the target account. S4: The garbage recycling device receives the verification points and verification images sent by the garbage classification device, and then calculates the actual points based on the pending points and verification points, and then adds the actual points to the total points of the target account, and sends the actual points, total points and verification images to the APP end of the target user. The garbage recycling device sends the calculated actual points and verification images to the target user, so that the target user can accurately know how the total points of the target account are increased, thereby increasing the user's enthusiasm for garbage classification; the user can clearly know where the mistakes in garbage classification are based on the verification image, which improves the user's understanding of garbage classification and enables the user to classify garbage more accurately.

[0021] As one of the implementation columns, in step S1, the garbage collection device matches the acquired facial image with the facial image of the saved account, including the following steps: the garbage collection device pre-receives the target user's command to create a target account, then obtains several facial images of the target user through a camera, and then constructs a facial matching model based on the several facial images through a convolutional neural network; after the garbage collection device receives the login command input by the target user, it obtains the facial image of the current target user through the camera, and then matches the current facial image with the saved facial matching model; the garbage collection device uses the account corresponding to the facial matching model with the highest matching degree and a matching degree greater than or equal to a set value as the target account of the current target user, and logs in to the target account; if the matching degree of the facial matching model with the highest matching degree is less than the set value, the garbage collection device re-obtains the facial image of the current target user for matching.

[0022] Face recognition technology consists of three parts: (1) Face detection Face detection refers to judging whether there is a face image in a dynamic scene and complex background, and separating such a face image. Generally, there are the following methods: ① Reference template method (first design one or several standard face templates, then calculate the matching degree between the test sample and the standard template, and use the threshold to judge whether there is a face), ② Face rule method (because the face has certain structural distribution characteristics, the so-called face rule method is to extract these features to generate corresponding rules to judge whether the test sample contains a face), ③ Sample learning method (this method adopts the method of artificial neural network in pattern recognition, that is, to generate a classifier by learning the face image sample set and the non-face image sample set), ④ Skin color model method (this method performs detection based on the relatively concentrated distribution of facial skin color in color space) and ⑤ Feature sub-face method (this method regards all facial image sets as a facial image subspace, and judges whether there is a facial image based on the distance between the detection sample and its projection in the subspace. It is worth mentioning that the above 5 methods can also be used in combination in actual detection systems), etc.

[0023] (2) Face tracking Face tracking refers to the dynamic target tracking of the detected face. Specifically, it adopts a model-based method or a method based on a combination of motion and model. In addition, tracking using skin color model is also a simple and effective means.

[0024] (3) Face matching Facial matching is to confirm the identity of the detected facial image or to search for a target in the facial image library. This actually means that the sampled facial image is compared with the stored facial images in turn, and the best matching object is found. Therefore, the description of the facial image determines the specific method and performance of facial image recognition. The two main description methods are feature vector and face pattern template: ① Feature vector method: This method first determines the size, position, distance and other attributes of the facial image contours such as the iris, nose, and mouth corners, and then calculates their geometric feature quantities, and these feature quantities form a feature vector that describes the facial image. ② Face pattern template method: This method stores a number of standard facial image templates or facial image organ templates in the library. When comparing, all pixels of the sampled facial image are matched with all templates in the library using normalized correlation measurements. In addition, there are also methods that use autocorrelation networks for pattern recognition or combine features with templates. The core of face recognition technology is actually "local human feature analysis" and "graphic / neural recognition algorithm". This algorithm is a method that uses various organs and characteristic parts of the human face. For example, the corresponding geometric relationship data forms identification parameters and compares, judges and confirms all the original parameters in the database. Generally, the judgment time is required to be less than 1 second.

[0025] The recognition process is generally divided into three steps: (1) First, establish a facial image file of the face. That is, use a camera to collect facial image files of the faces of the unit personnel or take their photos to form facial image files, and generate faceprint codes from these facial image files and store them. (2) Obtain the current human face image. That is, use the camera to capture the facial image of the current person entering and leaving, or take photos as input, and generate faceprint codes from the current facial image file. (3) Compare the current faceprint code with the archive inventory. That is, retrieve and compare the faceprint code of the current facial image with the faceprint code in the archive inventory. The above-mentioned "faceprint coding" method works based on the essential features and beginning of the face. This faceprint code can resist changes in light, skin tone, facial hair, hairstyle, glasses, expressions and postures, and has strong reliability, so that it can accurately identify a person from millions of people. The face recognition process can be completed automatically, continuously and in real time using ordinary image processing equipment.

[0026] As one of the embodiments, in step S2, the garbage collection device opens the opening of the corresponding garbage bin according to the garbage type signal, including the following steps: the garbage collection device receives the garbage type signal input by the target user, and then opens the entrance of the garbage bin corresponding to the garbage type signal; the garbage collection device controls the camera to work, and sends a signal that garbage can be put to the target user through a speaker, and then obtains the QR code on the garbage bag through the camera and records the weight of the garbage bag; after the garbage collection device receives the target user input to end the current type of garbage delivery signal or after a first set time, the garbage collection device closes the current garbage bin, and then asks the target user through a speaker whether there are other types of garbage to be put; if the target user inputs a signal to put other types of garbage, the garbage collection device opens the opening of the corresponding garbage bin; if the target user does not input a signal to put other types of garbage, the garbage collection device exits the current target account after receiving the target user's signal to end delivery or after a second set time. When the garbage collection device receives multiple types of garbage, after the user selects a garbage type, it can continue to receive the same type of garbage; after receiving a type of garbage, the garbage collection device requires the user to select the garbage type again to prevent the user from putting different garbage in the same garbage bin.

[0027] As one of the embodiments, in step S3, the garbage collection device adds the corresponding pending points to the target account according to the weight of the garbage bag, including the following steps: the garbage collection device obtains the weight of the garbage in the current garbage bin before opening the opening of the garbage bin, and sets it as the first weight; the garbage collection device obtains the weight of the garbage in the current garbage bin after closing the opening of the garbage bin, and sets it as the second weight; the garbage collection device subtracts the first weight from the second weight to obtain the weight of the garbage bag, and then uses the value of the weight of the garbage bag as the pending points; the garbage collection device displays the type of garbage placed by the user, the weight of the garbage corresponding to the type of garbage, and the pending points corresponding to the weight of the garbage to the user, and after waiting for the user to confirm, the pending points are stored in the user's target account; wherein the unit of the weight is kg. The garbage collection device calculates the garbage in the garbage bin before the user places the garbage, to prevent rainwater from flowing into the garbage bin, which increases the weight of the user's garbage bag, or the sanitation worker does not reset the weight of the garbage bin after cleaning the garbage bin, resulting in the garbage collection device failing to detect the weight of the garbage placed by the user or the detected weight being less than the actual weight. The garbage recycling device weighs the garbage placed by the user only after the garbage bin is closed, to prevent the user from placing garbage during the weighing process, resulting in inaccurate weighing of the garbage by the garbage recycling device.

[0028] As one of the implementation columns, in step S4, the garbage collection device calculates the actual points based on the pending points and the verification points, including the following steps: the garbage collection device divides the correct points in the verification points by the wrong points to obtain the points ratio; wherein the verification points are equal to the sum of the correct points and the wrong points, and the pending points are equal to the verification points; the garbage collection device calculates the product of the pending points and the points ratio, and then uses the product of the pending points and the points ratio as the actual points. The actual points are obtained by multiplying the pending points by the ratio of the correct points to the wrong points. The more accurate the user's classification of garbage is, the more actual points the user obtains, thereby increasing the user's enthusiasm for garbage classification.

[0029] A point-based garbage classification method, the method comprising the following steps: a garbage classification device identifies a QR code in a garbage bag, determines the garbage type of the garbage bag according to the QR code in the garbage bag, and then delivers the garbage bag to a sanitation worker, so that the sanitation worker classifies the garbage in the garbage bag and places the classified garbage on a weighing platform of the garbage type to which the garbage classification device belongs; the garbage classification device determines the correct integral and the incorrect integral of the garbage bag according to the garbage type to which the weighing platform belongs and the garbage type of the garbage bag, takes a photo of the garbage on the weighing platform, and then sends the image data of the garbage bag, the correct integral and the incorrect integral to a garbage recycling device.

[0030] As one of the embodiments, the garbage classification device determines the correct integral and the incorrect integral of the garbage bag, including the following steps: the garbage classification device obtains the garbage type to which the weighing platform belongs, and then determines whether the garbage type to which the weighing platform belongs is the same as the garbage type of the garbage bag, and then weighs and photographs the garbage on the weighing platform; if the garbage type to which the weighing platform belongs is the same as the garbage type of the garbage bag, the garbage classification device uses the current garbage weight on the weighing platform as the correct integral, and marks the name of the acquired garbage image as the garbage type of the current weighing platform; if the garbage type to which the weighing platform belongs is different from the garbage type of the garbage bag, the garbage classification device uses the current garbage weight on the weighing platform as the misplaced integral, and marks the name of the acquired garbage image as the garbage type of the current weighing platform; the garbage classification device packages the QR code, correct integral, incorrect integral and garbage image of the garbage bag into a data packet and sends it to the garbage recycling device.

[0031] As one of the implementation columns, before the garbage sorting device starts working, it first obtains the facial image of the sanitation worker through the camera, then matches the obtained facial image with the facial image of the saved account, and logs in to the target account corresponding to the matched sanitation worker; after the garbage sorting device determines the correct points and the wrong points of the garbage bag, it stores the wrong points as classification points in the target account of the sanitation worker who sorts the garbage bag.

[0032] A garbage classification and recycling system, the garbage classification system includes a garbage recycling device and a garbage classification device, the garbage recycling device executes the above-mentioned integral garbage classification and recycling method to recycle garbage, and the garbage classification device executes the above-mentioned integral garbage classification method to classify garbage; the garbage recycling device includes a camera, a display screen, a speaker and several garbage bins; the garbage classification device includes a camera and several weighing platforms.

[0033] The garbage recycling device receives the user's login information (face image or mobile phone number), and then logs in to the corresponding target account. The user then selects the type of garbage to be placed. The garbage recycling device records the garbage placed by the user according to the QR code on the garbage bag, calculates the weight of the garbage placed by the user, and then calculates the pending points based on the weight of the garbage placed. The garbage recycling device can then transport the garbage in the garbage bin to the garbage sorting device through mechanical equipment or sanitation workers. When sanitation workers sort garbage, they first log in to their own account, and then the garbage sorting device first scans the QR code of the garbage bag to determine that the points in the sorting process will be placed in the corresponding target account. The garbage sorting device distributes the garbage bags filled with garbage to the sanitation workers. The sanitation workers sort the garbage in the garbage bags more professionally, determine which garbage is incorrectly classified by the user and which is correctly classified, and weigh and take photos of the classified garbage, and then feedback to the user through the garbage sorting device and the garbage recycling device, so that the user can not only clearly know the points obtained by garbage sorting, but also know more about garbage sorting. After completing the sorting, the sanitation worker can get the corresponding classification points. Users can redeem corresponding rewards from garbage recycling devices by using the points they get from garbage classification, such as paper towels, garbage bags, eco-friendly bags, or garbage classification models, etc. The classification points of sanitation workers can be used to redeem rewards or as work performance of sanitation workers.

[0034] When recycling garbage, the garbage classification and recycling system described in the present application first detects the QR code of the garbage bag through the garbage recycling device to record the garbage placed by the user after classification, and then verifies the classification of the garbage placed by the user through the garbage classification device, and determines the user's final points based on the correct points and incorrect points of the classification verification, effectively preventing users from cheating points by using unclassified garbage as classified garbage, and improving users' enthusiasm for garbage classification. After the garbage classification device completes the garbage classification, it will take an image of the garbage and mark the corresponding garbage type, and then send it to the user, so as to improve the user's understanding of the garbage type and enable the user to classify the garbage more accurately.

[0035] In the description of the specification, the description with reference to the terms "one embodiment", "preferably", "example", "specific example" 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 invention, and the schematic expressions of the above terms in this specification do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner. The connection method connected in the description of the specification has obvious effects and practical effectiveness.

[0036] Through the description of the above structure and principle, technicians in the relevant technical field should understand that the present invention is not limited to the above-mentioned specific implementation methods. Improvements and substitutions based on the present invention using the well-known technology in the field all fall within the protection scope of the present invention and should be defined by the claims.

Claims

1. An integral garbage classification and recycling method, characterized in that: The method comprises the following steps: S1: The garbage collection device obtains a face image of a target user through a camera, then matches the obtained face image with a face image of a saved account, and logs in to the target account corresponding to the matched face image; S2: The garbage recycling device receives the garbage type signal input by the target user, opens the opening of the corresponding garbage bin according to the garbage type signal, then obtains the QR code on the garbage bag through the camera, and records the weight of the garbage bag; S3: The garbage recycling device adds corresponding pending points to the target account according to the weight of the garbage bag, and then transmits the corresponding garbage bag to the garbage classification device, so that the garbage classification device verifies the type of garbage in the garbage bag; S4: The garbage recycling device receives the verification points and verification images sent by the garbage sorting device, and then calculates the actual points based on the pending points and verification points, and then adds the actual points to the total points of the target account, and sends the actual points, total points and verification image to the APP end of the target user.

2. The integrated garbage classification and recycling method according to claim 1, characterized in that: In step S1, the garbage collection device matches the acquired face image with the face image of the saved account, including the following steps: The garbage collection device receives a command from a target user to create a target account in advance, then obtains a plurality of face images of the target user through a camera, and then constructs a face matching model based on the plurality of face images through a convolutional neural network; After receiving the login command input by the target user, the garbage collection device obtains the face image of the current target user through the camera, and then matches the current face image with the saved face matching model; The garbage collection device uses the account corresponding to the face matching model with the highest matching degree and a matching degree greater than or equal to a set value as the target account of the current target user, and logs in to the target account; If the matching degree of the face matching model with the highest matching degree is less than the set value, the garbage collection device re-acquires the face image of the current target user for matching.

3. The integrated garbage classification and recycling method according to claim 1, characterized in that: In step S2, the garbage collection device opens the opening of the corresponding garbage bin according to the garbage type signal, including the following steps: The garbage collection device receives a garbage type signal input by a target user, and then opens an entrance to a garbage bin corresponding to the garbage type signal; The garbage collection device controls the camera to work and sends a signal to the target user through a speaker to indicate that the garbage can be disposed of. The camera then obtains the QR code on the garbage bag and records the weight of the garbage bag. After the garbage collection device receives a signal from the target user to end the current type of garbage placement or after a first set time, the garbage collection device closes the current garbage bin and then asks the target user through a speaker whether there are other types of garbage to be placed; If the target user inputs a signal to put out other types of garbage, the garbage collection device opens the opening of the corresponding garbage bin; If the target user does not input a signal to place other types of garbage, the garbage collection device will exit the current target account after receiving a signal from the target user to end placement or after a second set time.

4. The integrated garbage classification and recycling method according to claim 1, characterized in that: In step S3, the garbage collection device adds corresponding pending points to the target account according to the weight of the garbage bag, including the following steps: The garbage recycling device obtains the weight of the garbage in the current garbage bin before opening the opening of the garbage bin and sets it as the first weight; The garbage recycling device obtains the weight of the garbage in the current garbage bin after closing the opening of the garbage bin and sets it as the second weight; The garbage recycling device subtracts the first weight from the second weight to obtain the weight of the garbage bag, and then uses the value of the weight of the garbage bag as the integral to be determined; The garbage collection device displays the type of garbage placed by the user, the weight of the garbage corresponding to the type of garbage, and the pending points corresponding to the weight of the garbage to the user, and after waiting for the user's confirmation, stores the pending points in the user's target account; Wherein, the unit of the weight is kg.

5. The integrated garbage classification and recycling method according to claim 1, characterized in that: In step S4, the garbage collection device calculates the actual points according to the pending points and the verification points, including the following steps: The garbage collection device divides the correct integral in the verification integral by the error integral to obtain an integral ratio; wherein the verification integral is equal to the sum of the correct integral and the error integral, and the undetermined integral is equal to the verification integral; The garbage collection device calculates the product of the to-be-determined integral and the integral ratio, and then uses the product of the to-be-determined integral and the integral ratio as the actual integral.

6. An integral garbage classification method, characterized in that: The method comprises the following steps: The garbage classification device identifies the QR code in the garbage bag, determines the garbage type of the garbage bag according to the QR code in the garbage bag, and then delivers the garbage bag to the sanitation worker, so that the sanitation worker classifies the garbage in the garbage bag and places the classified garbage on the weighing platform of the garbage type to which it belongs; The garbage classification device determines the correct score and the wrong score of the garbage bag according to the garbage type of the weighing platform and the garbage type of the garbage bag, takes a photo of the garbage on the weighing platform, and sends the image data, correct score and wrong score of the garbage bag to the garbage recycling device.

7. The integral garbage classification method according to claim 1, characterized in that: The garbage classification device determines the correct score and the wrong score of the garbage bag, comprising the following steps: The garbage classification device obtains the type of garbage to which the weighing platform belongs, and then determines whether the type of garbage to which the weighing platform belongs is the same as the type of garbage in the garbage bag, and then weighs and photographs the garbage on the weighing platform; If the garbage type to which the weighing platform belongs is the same as the garbage type of the garbage bag, the garbage classification device takes the garbage weight on the current weighing platform as the correct integral, and marks the name of the acquired garbage image as the garbage type of the current weighing platform; If the garbage type to which the weighing platform belongs is different from the garbage type of the garbage bag, the garbage classification device uses the garbage weight on the current weighing platform as the misalignment integral, and marks the name of the acquired garbage image as the garbage type of the current weighing platform; The garbage classification device packages the two-dimensional code, correct points, wrong points and garbage image of the garbage bag into a data packet and sends it to the garbage collection device.

8. The integral garbage classification method according to claim 1, characterized in that: Before the garbage sorting device starts working, it first obtains the facial image of the sanitation worker through the camera, then matches the acquired facial image with the facial image of the saved account, and logs in to the target account corresponding to the matched sanitation worker; After the garbage classification device determines the correct points and the wrong points of the garbage bag, the wrong points are stored as classification points in the target account of the sanitation worker who classifies the garbage bag.

9. A garbage classification and recycling system, characterized in that: The garbage classification system comprises a garbage collection device and a garbage classification device, wherein the garbage collection device executes the integral garbage classification and recycling method according to any one of claims 1 to 5 to recycle garbage, and the garbage classification device executes the integral garbage classification method according to any one of claims 6 to 8 to classify garbage; The garbage recycling device includes a camera, a display screen, a speaker and several garbage bins; The garbage classification device includes a camera and several weighing platforms.

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