CN212981219U

CN212981219U - Rubbish visual classification recognition device based on degree of depth learning

Info

Publication number: CN212981219U
Application number: CN202021426286.7U
Authority: CN
Inventors: 霍金阁; 杨茜; 唐妍涤
Original assignee: Gabriel Suzhou Information Technology Co ltd
Current assignee: Gabriel Suzhou Information Technology Co ltd
Priority date: 2020-07-20
Filing date: 2020-07-20
Publication date: 2021-04-16
Anticipated expiration: 2030-07-20

Abstract

The utility model discloses a rubbish visual classification recognition device based on degree of depth study, including rubbish storage box and categorised actuating mechanism, categorised actuating mechanism fixed mounting is in the top of rubbish storage box, and categorised actuating mechanism includes that equipment frame and rubbish are fought, and one side of equipment frame inner wall is rotated through the bearing and is connected with the rotation lead screw, and the surface threaded connection who rotates the lead screw has the thread bush, and the back fixed connection that connecting block and rubbish were fought is passed through to the surface of thread bush, the utility model relates to a waste classification technical field. This rubbish visual classification recognition device based on degree of depth study can automatic identification rubbish kind to having crossed mechanical drive and putting in rubbish to the categorised case of rubbish that corresponds, thereby realizing classifying rubbish automatically, providing fine hardware basis for the popularization of rubbish classification, its inner structure is stability very when the operation, has guaranteed the accuracy of rubbish and has put in, simultaneously can be very convenient clear up the rubbish of device internal storage.

Description

Rubbish visual classification recognition device based on degree of depth learning

Technical Field

The utility model relates to a waste classification technical field specifically is a rubbish visual classification recognition device based on degree of depth study.

Background

Waste is a solid, fluid substance that is not needed or useful. In densely populated cities, waste disposal is a troublesome problem, and waste classification refers to a general term for a series of activities that store, release and transport waste classified according to a certain rule or standard, thereby converting it into public resources. The garbage classification can improve the resource value and the economic value of the garbage, and the garbage is classified by combining the resource utilization and the treatment mode of local garbage according to the component composition and the yield of the garbage, so that a large number of garbage classification boxes are put into the market at present.

The existing garbage classification device is composed of a plurality of garbage cans, different types of garbage are stored in different garbage cans, and the surface of each garbage can is printed with an identifier for storing corresponding types of garbage, but the garbage classification device needs a user to identify the types corresponding to the garbage, and then the garbage is put into the corresponding garbage cans, so that the user sometimes can not accurately judge the types corresponding to the garbage when putting in, and the garbage classification putting is not very smooth.

SUMMERY OF THE UTILITY MODEL

Not enough to prior art, the utility model provides a rubbish visual classification recognition device based on degree of depth study has solved current rubbish classification device and can not independently discern rubbish kind and carry out the problem of automatic input.

In order to achieve the above purpose, the utility model discloses a following technical scheme realizes: the utility model provides a rubbish visual classification recognition device based on degree of depth study, includes rubbish storage box and categorised actuating mechanism, categorised actuating mechanism fixed mounting is in the top of rubbish storage box, categorised actuating mechanism includes equipment frame and rubbish fill, one side of equipment frame inner wall is rotated through the bearing and is connected with the rotation lead screw, the surperficial threaded connection who rotates the lead screw has the thread bush, the back fixed connection that connecting block and rubbish were fought is passed through to the surface of thread bush, the both sides of rubbish fill all have a riser through connecting block fixed mounting, two the equal fixed mounting in one side that the riser is relative has electric telescopic handle, electric telescopic handle's flexible fixed mounting has the baffle to the bottom of baffle contacts with the bottom of rubbish fill, one side fixed mounting of rubbish fill inner wall has the camera, the rubbish storage box includes first rubbish classification case, the rubbish, A second waste sorting bin and a third waste sorting bin.

Preferably, the top of the first garbage classification box, the top of the second garbage classification box and the top of the third garbage classification box are all provided with feed inlets, and the top of the equipment frame is provided with feed inlets.

Preferably, a driving motor is fixedly mounted on the other side of the inner wall of the equipment frame, an output shaft of the driving motor is fixedly connected with one end of the rotating screw rod through a coupler, a sliding groove is formed in the inner wall of the equipment frame and located on the back face of the rotating screw rod, a sliding block is connected to the inside of the sliding groove in a sliding mode, and the surface of the sliding block is fixedly connected with the back face of the threaded sleeve.

Preferably, the side fixed mounting of first waste classification case has the control box, the bottom fixed mounting of control box inner wall has central processing unit, the top fixed mounting of control box inner wall has the battery.

Preferably, the first garbage classification box, the second garbage classification box and the third garbage classification box are hinged to box doors through hinges, and control keys are fixedly mounted on the surface of the control box.

Preferably, the output end of the camera is connected with the input end of the image recognition module, the output end of the image recognition module is connected with the input end of the central processing unit, and the output end of the central processing unit is respectively connected with the input ends of the driving motor and the electric telescopic rod.

Advantageous effects

The utility model provides a rubbish visual classification recognition device based on degree of depth study. Compared with the prior art, the method has the following beneficial effects:

(1) this rubbish visual classification recognition device based on degree of depth study, output through the camera is connected with image recognition module's input, and image recognition module's output is connected with central processing unit's input, central processing unit's output is connected with driving motor and electric telescopic handle's input respectively, one side of equipment frame inner wall is rotated through the bearing and is connected with the rotation lead screw, the surperficial threaded connection who rotates the lead screw has the thread bush, the surface of thread bush passes through the back fixed connection of connecting block with the rubbish fill, the both sides of rubbish fill all have the riser through connecting block fixed mounting, the equal fixed mounting in one side that two risers are relative has electric telescopic handle, electric telescopic handle's flexible end fixed mounting has the baffle, and the bottom of baffle contacts with the bottom of rubbish fill, one side fixed mounting of rubbish fill inner wall has the camera, the rubbish storage box includes first rubbish, The second garbage classification box and the third garbage classification box can automatically identify garbage types, and garbage is thrown into the corresponding garbage classification boxes through mechanical driving, so that garbage is automatically classified, and a good hardware basis is provided for popularization of garbage classification.

(2) This rubbish visual classification recognition device based on degree of depth study, there is electric telescopic handle through the equal fixed mounting in one side that two risers are relative, electric telescopic handle's flexible fixed mounting has the baffle, and the bottom of baffle and the bottom contact that rubbish was fought, first rubbish classification case, second rubbish classification case and third rubbish classification case all articulate through the hinge has the chamber door, the spout has been seted up to the inner wall of equipment frame and the back that is located the rotation lead screw, the inside sliding connection of spout has the slider, and the surface of slider and the back fixed connection of thread bush, its inner structure is very stable when the operation, the accuracy of having guaranteed rubbish is put in, simultaneously can be very convenient clear up the rubbish of storage in the device.

Drawings

FIG. 1 is a schematic structural view of the present invention;

FIG. 2 is a cross-sectional view of the frame structure of the present invention;

FIG. 3 is an enlarged view of a portion of the substrate of FIG. 2;

FIG. 4 is a cross-sectional view of the garbage can structure of the present invention;

FIG. 5 is a top view of the internal structure of the equipment frame of the present invention;

fig. 6 is a sectional view of the structure of the control box of the present invention;

fig. 7 is a schematic block diagram of the system of the present invention.

In the figure: 1. a trash storage bin; 2. a sorting drive mechanism; 3. an equipment frame; 4. a garbage hopper; 5. rotating the screw rod; 6. a threaded sleeve; 7. a vertical plate; 8. an electric telescopic rod; 9. a baffle plate; 10. a camera; 11. a feed inlet; 12. a feeding port; 13. a drive motor; 14. a chute; 15. a slider; 16. a control box; 17. a central processing unit; 18. a storage battery; 19. a box door; 20. a control key; 21. an image recognition module; 101. a first waste bin; 102. a second waste bin; 103. and a third garbage classification box.

Detailed Description

The technical solutions in the embodiments of the present invention will be described clearly and completely with reference to the accompanying drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments in the present invention, all other embodiments obtained by a person skilled in the art without creative work belong to the protection scope of the present invention.

Referring to fig. 1-7, the present invention provides a technical solution: the utility model provides a rubbish visual classification recognition device based on degree of depth study, including rubbish storage box 1 and categorised actuating mechanism 2, categorised actuating mechanism 2 fixed mounting is in the top of rubbish storage box 1, categorised actuating mechanism 2 includes equipment frame 3 and rubbish fill 4, one side of equipment frame 3 inner wall is rotated through the bearing and is connected with rotation lead screw 5, the surface threaded connection who rotates lead screw 5 has thread bush 6, the surface of thread bush 6 passes through the connecting block and is fixed connection with the back of rubbish fill 4, the both sides of rubbish fill 4 all have riser 7 through connecting block fixed mounting, two one side that riser 7 is relative all fixed mounting have electric telescopic handle 8, the flexible end fixed mounting of electric telescopic handle 8 has baffle 9, and the bottom of baffle 9 contacts with the bottom of rubbish fill 4, one side fixed mounting of rubbish fill 4 inner wall has camera 10, rubbish storage box 1 includes first rubbish classification case 101, The garbage sorting device comprises a second garbage sorting box 102 and a third garbage sorting box 103, wherein the top parts of the first garbage sorting box 101, the second garbage sorting box 102 and the third garbage sorting box 103 are all provided with a feeding hole 11, the top part of an equipment frame 3 is provided with a feeding hole 12, the other side of the inner wall of the equipment frame 3 is fixedly provided with a driving motor 13, the driving motor 13 is a servo motor, an output shaft of the driving motor 13 is fixedly connected with one end of a rotating screw rod 5 through a coupler, the inner wall of the equipment frame 3 and the back surface of the rotating screw rod 5 are provided with a sliding groove 14, the inside of the sliding groove 14 is slidably connected with a sliding block 15, the surface of the sliding block 15 is fixedly connected with the back surface of a threaded sleeve 6, the side surface of the first garbage sorting box 101 is fixedly provided with a control box 16, the bottom part of the inner wall of the control box 16 is fixedly provided with a central processing unit, first waste classification case 101, second waste classification case 102 and third waste classification case 103 all articulate through the hinge has chamber door 19, the fixed surface of control box 16 installs control button 20, the output of camera 10 is connected with the input of image recognition module 21, image recognition module 21 realizes through the deep learning technique, use convolution neural network to handle the picture and calculate, can combine the attention mechanism in the computer vision at the in-process that the characteristic was drawed, strengthen the characteristic of picture and draw, and the output of image recognition module 21 is connected with central processing unit 17's input, central processing unit 17's output is connected with driving motor 13 and electric telescopic handle 8's input respectively.

And those not described in detail in this specification are well within the skill of those in the art.

When the garbage bin is used, a user can put garbage into the garbage bin 4 through the feeding port 12, after the garbage enters the garbage bin 4, the camera 10 can shoot the garbage, then the type of the garbage is identified through the image identification module 21, at the moment, the central processing unit 17 can open the driving motor 13 and the electric telescopic rod 8 according to the identification result of the image identification module 21, the output shaft of the driving motor 13 can drive the rotating screw rod 5 to rotate, the rotating screw rod 5 can drive the threaded sleeve 6 to move leftwards or rightwards through the mutual matching of the chute 14 and the sliding block 15, so that the garbage bin 4 is driven to move leftwards or rightwards, when the garbage bin 4 moves right above the corresponding garbage bin, the electric telescopic rod 8 can drive the baffle plate 9 to move outwards, so that the garbage enters the bottom of the garbage bin 4 and the feeding port 11 into the corresponding garbage bin, at this time, the electric telescopic rod 8 can be restored to the initial position, that is, the baffle 9 can block the bottom of the garbage hopper 4, and the driving motor 13 can rotate reversely, so that the garbage hopper 4 is restored to the initial position (the garbage hopper 4 is located right above the second garbage classification box 102).

It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.

Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.

Claims

1. The utility model provides a rubbish visual classification recognition device based on degree of depth study, includes rubbish storage box (1) and categorised actuating mechanism (2), categorised actuating mechanism (2) fixed mounting is in the top of rubbish storage box (1), its characterized in that: categorised actuating mechanism (2) are including equipment frame (3) and rubbish fill (4), one side of equipment frame (3) inner wall is rotated through the bearing and is connected with rotation lead screw (5), the surperficial threaded connection who rotates lead screw (5) has thread bush (6), the back fixed connection that connecting block and rubbish were fought (4) is passed through to the surface of thread bush (6), the both sides that rubbish was fought (4) all have riser (7), two through connecting block fixed mounting the equal fixed mounting in one side that riser (7) are relative has electric telescopic handle (8), the flexible fixed mounting of electric telescopic handle (8) has baffle (9) to the bottom of baffle (9) and the bottom contact of rubbish fill (4), one side fixed mounting of rubbish fill (4) inner wall has camera (10), rubbish storage box (1) includes first rubbish classification case (101), The garbage sorting device comprises a second garbage sorting box (102) and a third garbage sorting box (103), wherein the output end of a camera (10) is connected with the input end of an image recognition module (21), the output end of the image recognition module (21) is connected with the input end of a central processing unit (17), and the output end of the central processing unit (17) is connected with the input ends of a driving motor (13) and an electric telescopic rod (8) respectively.

2. The device for visually classifying and identifying the garbage based on the deep learning of claim 1, wherein: the top of the first garbage classification box (101), the top of the second garbage classification box (102) and the top of the third garbage classification box (103) are all provided with feed inlets (11), and the top of the equipment frame (3) is provided with a feed inlet (12).

3. The device for visually classifying and identifying the garbage based on the deep learning of claim 1, wherein: the opposite side fixed mounting of equipment frame (3) inner wall has driving motor (13) to the output shaft of driving motor (13) passes through the shaft coupling and rotates the one end fixed connection of lead screw (5), the inner wall of equipment frame (3) just is located the back that rotates lead screw (5) and has seted up spout (14), the inside sliding connection of spout (14) has slider (15) to the back fixed connection of the surface of slider (15) and thread bush (6).

4. The device for visually classifying and identifying the garbage based on the deep learning of claim 1, wherein: the side fixed mounting of first waste classification case (101) has control box (16), the bottom fixed mounting of control box (16) inner wall has central processing unit (17), the top fixed mounting of control box (16) inner wall has battery (18).

5. The device for visually classifying and identifying the garbage based on the deep learning of claim 4, wherein: the garbage sorting device is characterized in that the first garbage sorting box (101), the second garbage sorting box (102) and the third garbage sorting box (103) are hinged to box doors (19) through hinges, and control keys (20) are fixedly mounted on the surface of the control box (16).