Intelligent recoverable garbage sorting method based on AI identification

Abstract

The invention discloses an intelligent recyclable garbage sorting method based on AI identification, which comprises the following steps: S1, garbage is put into a sorting mechanism arranged in a garbage sorting device, and then the garbage on the sorting mechanism is shot through a camera; s2, the camera transmits a shot picture to an AI recognition module, and the AI recognition module recognizes a garbage type in the picture and transmits a recognition result to a Raspberry Pi control module; s3, the Raspberry Pi control module controls the sorting mechanism to throw the garbage into the classification garbage cans of the corresponding types according to the result transmitted by the AI recognition module, the type of the thrown garbage can can be automatically, rapidly and accurately recognized, the sorting mechanism is controlled to throw the garbage into the corresponding classification garbage cans, the process is highly intelligent, and the efficiency is high. The garbage sorting efficiency and accuracy are greatly improved, meanwhile, the structure is more simplified, the manufacturing cost is lower, the purchasing cost of a user is reduced, and the garbage sorting device is very suitable for being used in families.

Description

Technical Field

[0001] The present invention relates to the technical field of garbage classification, and in particular to an intelligent recyclable garbage sorting method based on AI recognition. Background Art

[0002] Existing intelligent garbage sorting technology has gradually attracted attention. However, most of the existing intelligent garbage sorting equipment is designed for large public places. Although it can achieve a certain degree of automated sorting, it is often complex in structure and expensive, making it difficult to popularize in home environments. In addition, these devices still need to be improved in terms of recognition accuracy, sorting efficiency, and user experience.

[0003] Therefore, developing an intelligent recyclable garbage sorting method and device based on AI recognition to achieve efficient and accurate classification of household garbage, while reducing equipment costs and improving user experience, has important practical significance and application value. This method integrates AI recognition technology, automatic control technology and mechanical structure design to achieve automatic recognition, classification and delivery of input garbage, providing household users with a convenient and efficient garbage disposal solution. Summary of the invention

[0004] The object of the present invention is to provide an intelligent recyclable garbage sorting method based on AI recognition, so as to solve or at least alleviate one or more of the above-mentioned problems and other problems existing in the prior art.

[0005] To achieve the above object, the present invention provides the following technical solution: an intelligent recyclable garbage sorting method based on AI recognition, comprising the following steps:

[0006] S1, putting the garbage into the sorting mechanism built into the garbage sorting device, and then taking pictures of the garbage on the sorting mechanism through a camera;

[0007] S2, the camera transmits the captured picture to the AI ​​recognition module, which identifies the type of garbage in the picture and transmits the recognition result to the Raspberry Pi control module;

[0008] S3. The Raspberry Pi control module controls the sorting mechanism to put the garbage into the corresponding type of classified garbage bin according to the results transmitted by the AI ​​recognition module.

[0009] In an intelligent recyclable garbage sorting method based on AI recognition according to the present invention, optionally, the garbage types include paper type garbage, bottle type garbage, metal block type garbage and other garbage.

[0010] In an intelligent recyclable garbage sorting method based on AI recognition according to the present invention, optionally, the garbage sorting device in step S1 includes a lower shell and an upper shell, the upper shell is fixedly connected to the top of the lower shell, the sorting mechanism is arranged at the inner upper end of the lower shell, a placement cavity is opened at the lower end of the lower shell, the classified garbage bin is detachably placed in the placement cavity, the camera and the Raspberry Pi control module are fixedly installed on the inner top of the upper shell, and a delivery port is opened at the top of the upper shell.

[0011] In an intelligent recyclable garbage sorting method based on AI recognition according to the present invention, optionally, the sorting mechanism includes a support frame and a sorting plate, the support frame is fixedly mounted on the inner upper end of the lower shell, a rotating motor is fixedly mounted on the bottom of the support frame, a turntable is fixedly mounted on the upper end of the rotating shaft of the rotating motor, a lower connecting seat is fixedly connected to the top of the turntable, an upper connecting seat is fixedly connected to the bottom of the sorting plate, the upper connecting seat is hinged to the lower connecting seat, and an angle adjustment member capable of adjusting the inclination angle of the sorting plate and thereby dumping the garbage in the sorting plate is provided between the upper connecting seat and the turntable;

[0012] The angle adjustment member comprises an electric push rod, the bottom of the electric push rod is fixedly connected with a lower rotating block, the top of the turntable is fixedly connected with a lower hinge seat, the lower rotating block is hinged to the lower hinge seat, the top of the piston rod of the electric push rod is fixedly connected with an upper rotating block, the bottom of the sorting plate is fixedly connected with an upper hinge seat, the upper rotating block is hinged to the upper hinge seat;

[0013] The electric push rod and the rotary motor are both controlled by the Raspberry Pi control module.

[0014] In an intelligent recyclable garbage sorting method based on AI recognition according to the present invention, optionally, a plurality of ball grooves are opened at the bottom of the turntable, and the plurality of ball grooves are distributed in a circular array. Balls are rotatably arranged in the ball grooves, and the balls are in rolling contact with the top of the support frame.

[0015] In an intelligent recyclable garbage sorting method based on AI recognition according to the present invention, optionally, a cover plate is rotatably installed in the delivery port through a rotating rod, an opening and closing motor is fixedly installed on the inner top of the upper shell body, a driving gear is fixedly installed on the rotating shaft of the opening and closing motor, a tooth groove is opened at the end of the cover plate, the driving gear is meshed with the tooth groove, an infrared human body sensor is fixedly embedded on the top of the upper shell body, the infrared human body sensor is electrically connected to the signal input end of the Raspberry Pi control module, and the opening and closing motor is controlled by the Raspberry Pi control module.

[0016] In an intelligent recyclable garbage sorting method based on AI recognition according to the present invention, optionally, a guide plate for guiding the input garbage onto the sorting plate is fixedly installed inside the upper shell.

[0017] In an intelligent recyclable garbage sorting method based on AI recognition according to the present invention, optionally, a groove is provided on one side of the classification garbage bin, and a handle is fixedly connected to the inside of the groove.

[0018] In an intelligent recyclable garbage sorting method based on AI recognition according to the present invention, optionally, an anti-slip knob is rotatably installed on the upper end of the outer wall of the lower shell body, and the anti-slip knob is arranged in a semicircular shape. The arc-shaped part of the anti-slip knob can limit the classification garbage bin in the placement cavity.

[0019] In an intelligent recyclable garbage sorting method based on AI recognition according to the present invention, optionally, self-locking universal wheels are fixedly installed at the four bottom corners of the lower shell.

[0020] Compared with the prior art, the present invention has the following beneficial effects:

[0021] Low cost and applicability: Compared with the traditional complex and high-cost "3-axis" intelligent sorting trash bin, the intelligent recyclable garbage sorting method based on AI recognition provided by the present invention has a simpler structure and lower cost, which is very suitable for home use, reduces the user's purchase cost, and improves the popularity and applicability of the invention;

[0022] Efficient and intelligent: Through the built-in AI recognition module and Raspberry Pi control module, the present invention can automatically, quickly and accurately identify the type of garbage input, and control the sorting mechanism to put the garbage into the corresponding classified garbage bin. This process is highly intelligent and greatly improves the efficiency and accuracy of garbage sorting.

[0023] Easy to operate and maintain: The garbage sorting device of the present invention is exquisitely designed, and the classified garbage bin can be detached and placed, which is convenient for users to replace or clean according to their needs. At the same time, the intelligent control system simplifies the operation process, making it easy for users to get started;

[0024] High space utilization: The garbage sorting device of the present invention has a compact structure and occupies little space, and is very suitable for placement inside a home, solving the problem that traditional large garbage bins are inconvenient to use in a home environment;

[0025] Environmental protection and resource recycling: Through refined garbage sorting, the present invention helps to reduce environmental pollution in the garbage disposal process and promotes the effective utilization of recyclable resources, which is of great significance for promoting urban environmental protection and sustainable development;

[0026] User-friendliness: The garbage sorting device of the present invention is also equipped with an infrared human body sensor and an automatically opening and closing cover. When it detects someone approaching, the cover automatically opens, thereby improving the user experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] Figure 1 This is a schematic diagram of the structure of a garbage sorting device in an intelligent recyclable garbage sorting method based on AI recognition according to the present invention;

[0028] Figure 2 for Figure 1 A schematic diagram of the enlarged structure of part A;

[0029] Figure 3 This is a schematic diagram of the structure of a classification trash bin in an intelligent recyclable trash sorting method based on AI recognition in the present invention;

[0030] Figure 4 It is a schematic diagram of a partial cross-sectional structure of a garbage sorting device in an intelligent recyclable garbage sorting method based on AI recognition of the present invention;

[0031] Figure 5 This is one of the partial structural schematic diagrams of a garbage sorting device in an intelligent recyclable garbage sorting method based on AI recognition according to the present invention;

[0032] Figure 6 This is a second partial structural schematic diagram of a garbage sorting device in an intelligent recyclable garbage sorting method based on AI recognition according to the present invention;

[0033] Figure 7 for Figure 6 A schematic diagram of the enlarged structure of part B in FIG.

[0034] Figure 8 This is a second partial structural schematic diagram of a garbage sorting device in an intelligent recyclable garbage sorting method based on AI recognition according to the present invention;

[0035] Fig. 9 This is a structural schematic diagram of a sorting mechanism in an intelligent recyclable garbage sorting method based on AI recognition according to the present invention;

[0036] Fig.10 for Fig. 9 Schematic diagram of the enlarged structure of part C;

[0037] Fig.11 A state diagram of metal block type garbage identified in an intelligent recyclable garbage sorting method based on AI identification according to the present invention;

[0038] Fig.12 This is a state diagram of bottle waste identified in an intelligent recyclable waste sorting method based on AI identification according to the present invention;

[0039] Fig.13 A state diagram of paper type garbage identified in an intelligent recyclable garbage sorting method based on AI identification according to the present invention;

[0040] Fig.14 This is a state diagram of identifying other types of garbage in an intelligent recyclable garbage sorting method based on AI recognition in the present invention.

[0041] In the figure: 1, lower housing; 101, placement chamber; 102, anti-drop knob; 103, self-locking universal wheel; 2, upper housing; 201, delivery port; 202, cover plate; 203, guide plate; 204, opening and closing motor; 205, driving gear; 206, tooth groove;

[0042] 3. Classification trash bin; 301. groove; 302. handle;

[0043] 4. Sorting mechanism; 401. Support frame; 402. Sorting plate; 403. Rotating motor; 404. Turntable; 4041. Lower connecting seat; 4042. Ball bearing; 405. Upper connecting seat; 406. Electric push rod; 407. Upper rotating block; 408. Upper articulated seat; 409. Lower rotating block; 410. Lower articulated seat;

[0044] 5. Camera;

[0045] 6. Raspberry Pi control module;

[0046] 7. Infrared human body sensor. DETAILED DESCRIPTION

[0047] The technical solution of the present invention is further described below with reference to the accompanying drawings and through specific implementation methods.

[0048] Among them, the drawings are only used for illustrative explanations, and they only represent schematic diagrams rather than actual pictures, and should not be understood as limitations on this patent; in order to better illustrate the embodiments of the present invention, some parts of the drawings may be omitted, enlarged or reduced, and do not represent the size of the actual product; for those skilled in the art, it is understandable that some well-known structures and their descriptions in the drawings may be omitted.

[0049] The same or similar numbers in the drawings of the embodiments of the present invention correspond to the same or similar parts; in the description of the present invention, it should be understood that if the terms "upper", "lower", "left", "right", "inner", "outer", etc. appear, the orientation or position relationship indicated is based on the orientation or position relationship shown in the drawings, which is only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation. Therefore, the terms describing the position relationship in the drawings are only used for illustrative purposes and cannot be understood as a limitation on this patent. For ordinary technicians in this field, the specific meanings of the above terms can be understood according to specific circumstances.

[0050] In the description of the present invention, unless otherwise clearly specified and limited, if the term "connection" or the like appears to indicate the connection relationship between components, the term should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium, it can be the internal connection of two components or the interaction relationship between two components. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0051] Example 1

[0052] See also Figures 1 to 14 , the present invention provides the following technical solutions:

[0053] An intelligent recyclable waste sorting method based on AI recognition includes the following steps:

[0054] S1, putting garbage into the sorting mechanism 4 built into the garbage sorting device, and then photographing the garbage on the sorting mechanism 4 through the camera 5;

[0055] S2, the camera 5 transmits the captured picture to the AI ​​recognition module, the AI ​​recognition module identifies the type of garbage in the picture and transmits the recognition result to the Raspberry Pi control module 6;

[0056] S3. The Raspberry Pi control module 6 controls the sorting mechanism 4 to put the garbage into the corresponding type of classified garbage bin 3 according to the results transmitted by the AI ​​recognition module.

[0057] Among them, in this embodiment, the garbage types include paper, bottles, metal blocks and other garbage, so that different recyclable garbage can be finely classified, which helps to reduce environmental pollution in the garbage disposal process and promote the effective use of recyclable resources.

[0058] In this embodiment, the garbage sorting device includes a lower shell 1 and an upper shell 2. The upper shell 2 is fixedly connected to the top of the lower shell 1. In order to facilitate the movement of the garbage sorting device, self-locking universal wheels 103 are fixedly installed at the four corners of the bottom of the lower shell 1. The sorting mechanism 4 is arranged at the upper end of the inner part of the lower shell 1. A placement cavity 101 is opened at the lower end of the lower shell 1. The classified garbage bin 3 can be detachably placed in the placement cavity 101. The camera 5 and the Raspberry Pi control module 6 are fixedly installed on the inner top of the upper shell 2. A delivery port 201 is opened at the top of the upper shell 2.

[0059] By adopting the above technical solution, during operation, the garbage to be discarded is put into the sorting mechanism 4 through the delivery port 201, the camera 5 takes a picture of the garbage on the sorting mechanism 4, and then transmits the photographed picture to the AI ​​recognition module, the AI ​​recognition module identifies the type of garbage in the picture, and transmits the recognition result to the Raspberry Pi control module 6, the Raspberry Pi control module 6 controls the sorting mechanism 4 to put the garbage into the corresponding type of classified garbage bin 3 according to the result transmitted by the AI ​​recognition module. This process can automatically, quickly and accurately identify the type of garbage put in, and control the sorting mechanism 4 to put the garbage into the corresponding classified garbage bin 3, which greatly improves the efficiency and accuracy of garbage sorting, and has a compact structure and occupies little space, which is very suitable for placement inside the home, solving the problem that traditional large garbage bins are inconvenient to use in a home environment, and at the same time, the cost is lower, which is very suitable for home use.

[0060] In this embodiment, the sorting mechanism 4 includes a support frame 401 and a sorting plate 402. The support frame 401 is fixedly mounted on the inner upper end of the lower shell 1. A rotating motor 403 is fixedly mounted on the bottom of the support frame 401. A turntable 404 is fixedly mounted on the upper end of the rotating shaft of the rotating motor 403. A lower connecting seat 4041 is fixedly connected to the top of the turntable 404. An upper connecting seat 405 is fixedly connected to the bottom of the sorting plate 402. The upper connecting seat 405 is hinged to the lower connecting seat 4041. An angle adjusting member capable of adjusting the inclination angle of the sorting plate 402 and thereby dumping the garbage in the sorting plate 402 is provided between the upper connecting seat 405 and the turntable 404.

[0061] In this embodiment, the angle adjustment member includes an electric push rod 406, the bottom of the electric push rod 406 is fixedly connected to a lower rotating block 409, the top of the turntable 404 is fixedly connected to a lower hinge seat 410, the lower rotating block 409 is hinged to the lower hinge seat 410, the top of the piston rod of the electric push rod 406 is fixedly connected to an upper rotating block 407, the bottom of the sorting plate 402 is fixedly connected to an upper hinge seat 408, and the upper rotating block 407 is hinged to the upper hinge seat 408;

[0062] The electric push rod 406 and the rotary motor 403 are both controlled by the Raspberry Pi control module 6 .

[0063] By adopting the above technical solution, during operation, the Raspberry Pi control module 6 controls the rotation of the rotating shaft of the rotating motor 403, thereby driving the sorting plate 402 to rotate, and rotating the discharge port of the sorting plate 402 to the top of the classified garbage bin 3 corresponding to the type of garbage on the sorting plate 402, and then the Raspberry Pi control module 6 controls the piston rod of the electric push rod 406 to extend, and then the garbage on the sorting plate 402 is poured into the corresponding type of classified garbage bin 3. The whole process is simple and quick to operate.

[0064] Furthermore, a plurality of ball grooves are provided at the bottom of the turntable 404, and the plurality of ball grooves are distributed in a circular array. Balls 4042 are rotatably arranged in the ball grooves, and the ball 4042 is in rolling contact with the top of the support frame 401. Through this arrangement, the turntable 404 can rotate more smoothly.

[0065] In this embodiment, a cover plate 202 is rotatably installed in the delivery port 201 through a rotating rod, an opening and closing motor 204 is fixedly installed on the inner top of the upper shell 2, a driving gear 205 is fixedly installed on the rotating shaft of the opening and closing motor 204, a tooth groove 206 is provided at the end of the cover plate 202, and the driving gear 205 is meshed with the tooth groove 206, and an infrared human body sensor 7 is fixedly embedded on the top of the upper shell 2, the infrared human body sensor 7 is electrically connected to the signal input end of the Raspberry Pi control module 6, and the opening and closing motor 204 is controlled by the Raspberry Pi control module 6. Through this setting, when the infrared human body sensor 7 detects that someone is approaching, a signal is sent to the Raspberry Pi control module 6, and the Raspberry Pi control module 6 controls the opening and closing motor 204 to start, and the cover plate 202 is opened without manual opening of the cover, thereby improving the user experience.

[0066] Furthermore, in this embodiment, a guide plate 203 is fixedly installed inside the upper shell 2 to guide the input garbage to the sorting plate 402.

[0067] In the present embodiment, in order to facilitate the placement and removal of the classified waste bin 3, a groove 301 is provided on one side of the classified waste bin 3, and a handle 302 is fixedly connected to the inside of the groove 301. In order to prevent the classified waste bin 3 from easily detaching from the placement cavity 101, an anti-detachment knob 102 is rotatably installed on the upper end of the outer wall of the lower shell 1. The anti-detachment knob 102 is semicircular in shape, and the arc-shaped part of the anti-detachment knob 102 can limit the classified waste bin 3 in the placement cavity 101. During operation, when the classified waste bin 3 needs to be pulled out of the placement cavity 101, it is only necessary to rotate the anti-detachment knob 102 and rotate the arc-shaped part of the anti-detachment knob 102 to the top of the classified waste bin 3, which is convenient to operate.

[0068] In order to facilitate understanding of the above technical solutions of the present invention, the working principle or operation mode of the present invention in the actual process is described in detail below.

[0069] Working principle: During specific use, when a person holds garbage and approaches the upper shell 2, the infrared human body sensor 7 detects that someone is approaching and sends a signal to the Raspberry Pi control module 6. The Raspberry Pi control module 6 controls the opening and closing motor 204 to start, opens the cover 202, and then puts the garbage from the delivery port 201 onto the sorting plate 402 inside the lower shell 1. At this time, the camera 5 takes a picture of the garbage on the sorting plate 402, and then transmits the photographed picture to the AI ​​recognition module. The AI ​​recognition module identifies the type of garbage in the picture and transmits the recognition result to the Raspberry Pi control module 6. The Raspberry Pi control module 6 controls the rotation of the rotating shaft of the rotating motor 403 according to the result transmitted by the AI ​​recognition module, thereby driving the sorting plate 402 to rotate, and rotating the discharge port of the sorting plate 402 to the top of the classified garbage bin 3 corresponding to the type of garbage on the sorting plate 402, and then controls the piston rod of the electric push rod 406 to extend, and then pours the garbage on the sorting plate 402 into the classified garbage bin 3 of the corresponding type.

[0070] Parts not involved in the present invention are the same as the prior art or can be implemented by the prior art. Although the embodiments of the present invention have been shown and described, it is understood by those skilled in the art that various changes, modifications, substitutions and variations can be made to these embodiments without departing from the principles and spirit of the present invention, and the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. An intelligent recyclable waste sorting method based on AI recognition, It is characterized in that The following steps are involved: S1, putting garbage onto a sorting mechanism (4) built into the garbage sorting device, and then photographing the garbage on the sorting mechanism (4) through a camera (5); S2, the camera (5) transmits the captured image to the AI ​​recognition module, the AI ​​recognition module identifies the type of garbage in the image, and transmits the recognition result to the Raspberry Pi control module (6); S3. The Raspberry Pi control module (6) controls the sorting mechanism (4) to put the garbage into a classified garbage bin (3) of the corresponding type according to the result transmitted by the AI ​​recognition module.

2. According to claim 1, an intelligent recyclable garbage sorting method based on AI recognition, Features: The garbage types include paper type garbage, bottle type garbage, metal block type garbage and other garbage.

3. According to claim 1, an intelligent recyclable garbage sorting method based on AI recognition, Features: The garbage sorting device in step S1 comprises a lower shell (1) and an upper shell (2), wherein the upper shell (2) is fixedly connected to the top of the lower shell (1), the sorting mechanism (4) is arranged at the inner upper end of the lower shell (1), a placement cavity (101) is provided at the lower end of the lower shell (1), the classified garbage bin (3) is detachably placed in the placement cavity (101), the camera (5) and the Raspberry Pi control module (6) are both fixedly mounted on the inner top of the upper shell (2), and a delivery port (201) is provided at the top of the upper shell (2).

4. According to claim 3, an intelligent recyclable garbage sorting method based on AI recognition, Features: The sorting mechanism (4) comprises a support frame (401) and a sorting plate (402), wherein the support frame (401) is fixedly mounted on the inner upper end of the lower shell (1), a rotating motor (403) is fixedly mounted on the bottom of the support frame (401), a rotating disk (404) is fixedly mounted on the upper end of the rotating shaft of the rotating motor (403), a lower connecting seat (4041) is fixedly connected to the top of the rotating disk (404), an upper connecting seat (405) is fixedly connected to the bottom of the sorting plate (402), the upper connecting seat (405) is hinged to the lower connecting seat (4041), and an angle adjusting member capable of adjusting the inclination angle of the sorting plate (402) and thereby dumping the garbage in the sorting plate (402) is arranged between the upper connecting seat (405) and the rotating disk (404); The angle adjustment member comprises an electric push rod (406), the bottom of the electric push rod (406) is fixedly connected to a lower rotating block (409), the top of the turntable (404) is fixedly connected to a lower hinge seat (410), the lower rotating block (409) is hinged to the lower hinge seat (410), the top of the piston rod of the electric push rod (406) is fixedly connected to an upper rotating block (407), the bottom of the sorting plate (402) is fixedly connected to an upper hinge seat (408), and the upper rotating block (407) is hinged to the upper hinge seat (408); The electric push rod (406) and the rotary motor (403) are both controlled by the Raspberry Pi control module (6).

5. According to claim 4, an intelligent recyclable garbage sorting method based on AI recognition, Features: A plurality of ball grooves are provided at the bottom of the turntable (404), and the plurality of ball grooves are distributed in a ring array. Rolling balls (4042) are rotatably arranged in the ball grooves, and the rolling balls (4042) are in rolling contact with the top of the support frame (401).

6. According to claim 5, an intelligent recyclable garbage sorting method based on AI recognition, Features: A cover plate (202) is rotatably mounted in the delivery port (201) via a rotating rod, an opening and closing motor (204) is fixedly mounted on the inner top of the upper shell (2), a driving gear (205) is fixedly mounted on the rotating shaft of the opening and closing motor (204), a tooth groove (206) is provided at the end of the cover plate (202), the driving gear (205) is meshed with the tooth groove (206), an infrared human body sensor (7) is fixedly embedded on the top of the upper shell (2), the infrared human body sensor (7) is electrically connected to the signal input end of the Raspberry Pi control module (6), and the opening and closing motor (204) is controlled by the Raspberry Pi control module (6).

7. According to claim 6, an intelligent recyclable garbage sorting method based on AI recognition, Features: A guide plate (203) is fixedly installed inside the upper shell (2) to guide the input garbage to the sorting plate (402).

8. According to claim 3, an intelligent recyclable garbage sorting method based on AI recognition, Features: A groove (301) is provided on one side of the classified garbage bin (3), and a handle (302) is fixedly connected inside the groove (301).

9. According to claim 8, an intelligent recyclable garbage sorting method based on AI recognition, Features: An anti-slip knob (102) is rotatably mounted on the upper end of the outer wall of the lower shell (1); the anti-slip knob (102) is arranged in a semicircular shape; and the arc-shaped portion of the anti-slip knob (102) can limit the position of the classified waste bin (3) within the placement cavity (101).

10. According to claim 3, an intelligent recyclable garbage sorting method based on AI recognition, Features: Self-locking universal wheels (103) are fixedly mounted at the four corners of the bottom of the lower housing (1).

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