CN110817194A - Intelligent garbage can based on image recognition and classification method - Google Patents

Intelligent garbage can based on image recognition and classification method Download PDF

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Publication number
CN110817194A
CN110817194A CN201911135973.5A CN201911135973A CN110817194A CN 110817194 A CN110817194 A CN 110817194A CN 201911135973 A CN201911135973 A CN 201911135973A CN 110817194 A CN110817194 A CN 110817194A
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China
Prior art keywords
garbage
intelligent
image recognition
trash
sensor
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CN201911135973.5A
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Chinese (zh)
Inventor
魏志豪
周秋乐
张文博
辛凯莉
张媛媛
陈磊杰
罗海瑄
耿志新
魏晓宇
胡振汉
樊丰晨
秦峰
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Shandong University
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Shandong University
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Priority to CN201911135973.5A priority Critical patent/CN110817194A/en
Publication of CN110817194A publication Critical patent/CN110817194A/en
Pending legal-status Critical Current

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    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B30—PRESSES
    • B30B—PRESSES IN GENERAL
    • B30B9/00—Presses specially adapted for particular purposes
    • B30B9/30—Presses specially adapted for particular purposes for baling; Compression boxes therefor
    • B30B9/306—Mechanically-driven presses
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
    • B65F—GATHERING OR REMOVAL OF DOMESTIC OR LIKE REFUSE
    • B65F1/00—Refuse receptacles; Accessories therefor
    • B65F1/14—Other constructional features; Accessories
    • B65F1/1405—Compressing means incorporated in, or specially adapted for, refuse receptacles
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B30—PRESSES
    • B30B—PRESSES IN GENERAL
    • B30B1/00—Presses, using a press ram, characterised by the features of the drive therefor, pressure being transmitted directly, or through simple thrust or tension members only, to the press ram or platen
    • B30B1/006—Presses, using a press ram, characterised by the features of the drive therefor, pressure being transmitted directly, or through simple thrust or tension members only, to the press ram or platen by a scissor or lazy-tongs mechanism
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B30—PRESSES
    • B30B—PRESSES IN GENERAL
    • B30B9/00—Presses specially adapted for particular purposes
    • B30B9/30—Presses specially adapted for particular purposes for baling; Compression boxes therefor
    • B30B9/3003—Details
    • B30B9/3007—Control arrangements
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
    • B65F—GATHERING OR REMOVAL OF DOMESTIC OR LIKE REFUSE
    • B65F1/00—Refuse receptacles; Accessories therefor
    • B65F1/0033—Refuse receptacles; Accessories therefor specially adapted for segregated refuse collecting, e.g. receptacles with several compartments; Combination of receptacles
    • B65F1/0053—Combination of several receptacles
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
    • B65F—GATHERING OR REMOVAL OF DOMESTIC OR LIKE REFUSE
    • B65F1/00—Refuse receptacles; Accessories therefor
    • B65F1/14—Other constructional features; Accessories
    • B65F1/16—Lids or covers
    • B65F1/1623—Lids or covers with means for assisting the opening or closing thereof, e.g. springs
    • B65F1/1638—Electromechanically operated lids
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
    • B65F—GATHERING OR REMOVAL OF DOMESTIC OR LIKE REFUSE
    • B65F1/00—Refuse receptacles; Accessories therefor
    • B65F1/0033—Refuse receptacles; Accessories therefor specially adapted for segregated refuse collecting, e.g. receptacles with several compartments; Combination of receptacles
    • B65F2001/008—Means for automatically selecting the receptacle in which refuse should be placed
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
    • B65F—GATHERING OR REMOVAL OF DOMESTIC OR LIKE REFUSE
    • B65F2210/00—Equipment of refuse receptacles
    • B65F2210/138—Identification means
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
    • B65F—GATHERING OR REMOVAL OF DOMESTIC OR LIKE REFUSE
    • B65F2210/00—Equipment of refuse receptacles
    • B65F2210/162—Pressing means
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
    • B65F—GATHERING OR REMOVAL OF DOMESTIC OR LIKE REFUSE
    • B65F2210/00—Equipment of refuse receptacles
    • B65F2210/176—Sorting means

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  • Engineering & Computer Science (AREA)
  • Mechanical Engineering (AREA)
  • Refuse Collection And Transfer (AREA)

Abstract

The invention discloses an intelligent garbage can based on image recognition and a classification method, which comprises the following steps: sensing a human body within a set distance, shooting images of garbage, classifying and marking the shot garbage by using an image information identification technology through a controller, automatically opening garbage can covers under corresponding categories, and automatically closing the garbage can covers after the garbage is thrown in; compressing and pretreating garbage in the garbage can by using a garbage compressing mechanism; the method comprises the steps of detecting the capacity of the garbage cans, uploading the capacity information of the garbage cans to a processing system, and planning an optimal route for a transport vehicle by the processing system according to the positions and loads of the garbage cans. The invention solves the defects that the existing garbage can not meet the garbage classification requirement and has poor turnover.

Description

Intelligent garbage can based on image recognition and classification method
Technical Field
The invention relates to the field of garbage cans, in particular to an intelligent classification garbage can based on image recognition and a classification method.
Background
The difficulty that the classification of puzzlement rubbish realized at present, except that people's classification consciousness is light, the cost of storage and transportation that brings after the classification of rubbish in addition very big improvement. Garbage classification in some regions is relatively successful, but because population density is sparse, garbage yield is low, and the demand for intelligent classification equipment is not very strong.
In the prior art, Poland has equipment for classifying by scanning garbage bar codes, but the speed is low, and the Poland can only be used as indoor display and has no practical application value. The current research on the problem is limited to classification according to material classes, a large number of sensors are needed, detection classes are few, and power consumption is high. In addition, the transportation and other processing costs caused by classification are not involved, and the high-speed development of the Internet of things and intelligent equipment is not involved.
The inventor thinks that in the related field of current garbage classification, the problems that the garbage can is unreasonably designed in the classification function and the garbage can not be timely cleaned exist generally, and the currently generally adopted garbage containers mainly comprise two types, wherein one type is that a metal or plastic barrel with a cover is used as a container and is placed in a fixed place, and a specially designed garbage collection vehicle is used for regular loading, so that the barrel can be recycled for a long time; the other type is a concrete garbage pool which is cleaned regularly by garbage trucks and cleaning personnel. The two garbage containers have the common defect that the garbage cannot be cleaned immediately after being filled, the next cleaning period is waited, and the problems of peculiar smell generated by long-term storage of the garbage and the accumulation of the garbage like a mountain cause great trouble to residents.
Disclosure of Invention
Aiming at the defects that the existing garbage can cannot meet the garbage classification requirement and has poor turnover, the invention aims to provide an intelligent classification garbage can based on image recognition and a classification method.
The invention provides an intelligent classification garbage can based on image recognition.
The second purpose of the invention is to provide an intelligent classification method based on image recognition.
In order to realize the purpose, the invention discloses the following technical scheme:
the invention discloses an intelligent garbage can based on image recognition, which comprises a plurality of garbage can bodies, a compression mechanism, a first sensor, a second sensor, a CCD (charge coupled device) and a processor, wherein the openings of the garbage can bodies are all connected with the garbage can covers, the compression mechanism is arranged in the garbage can, the first sensor is arranged on the outer side of the garbage can, the second sensor is arranged in the garbage can, the first sensor and the second sensor are both electrically connected with the processor, the CCD is arranged outside the garbage can, and the CCD is electrically connected with the processor.
Furthermore, the garbage can covers are respectively hinged to the garbage can bodies and are further connected with the servo motor, and the servo motor is electrically connected with the processor and the power supply.
Further, the compressing mechanism comprises a first plate, a second plate and a shearing fork structure connected with the first plate and the second plate, and the shearing fork structure is connected with the power source.
Furthermore, the power source is a direct current motor, and the direct current motor is connected with the scissor fork structure through a ball screw.
Furthermore, the first plate of the compression mechanism is tightly attached to the inner wall of the barrel body of the garbage can.
The invention also discloses an intelligent garbage classification method based on image recognition, which comprises the following steps:
sensing a human body within a set distance, shooting images of garbage, classifying and marking the shot garbage by using an image information identification technology through a controller, automatically opening garbage can covers under corresponding categories, and automatically closing the garbage can covers after the garbage is thrown in;
compressing and pretreating garbage in the garbage can by using a garbage compressing mechanism;
the method comprises the steps of detecting the capacity of the garbage cans, uploading the capacity information of the garbage cans to a processing system, and planning an optimal route for a transport vehicle by the processing system according to the positions and loads of the garbage cans.
Further, in the method, the CCD is used for shooting the garbage, the controller carries out image recognition according to the image shot by the CCD, and the recognized garbage is marked as type I garbage, type II garbage, type III garbage, … garbage and type N garbage.
Further, the class I garbage, the class II garbage, the class III garbage, … garbage and the class N garbage respectively correspond to a first garbage can, a second garbage can, a third garbage can, … garbage and an nth garbage can; the controller is connected with the garbage can and controls the opening and closing of a garbage can cover of the garbage can.
Further, in the method, an infrared sensor is used for detecting the human body and the available capacity in the garbage can.
Further, in the method, an ant colony algorithm is used, and an optimal path is planned for the vehicle by means of the garbage can capacity information uploaded to the processing system.
Compared with the prior art, the invention has the following beneficial effects:
1) according to the invention, the detection and classification of the garbage are realized by utilizing an image information identification and processing technology, the capacity and the management space of the garbage can are enlarged by utilizing a mechanical compression device, and an optimal transportation solution is found for a transportation unit by utilizing artificial intelligence algorithms such as an ant colony algorithm and the like.
2) According to the invention, when hands or objects of people approach the feeding port, the image recognition system analyzes the garbage types in the hands of the user, the garbage bin covers of corresponding categories can be automatically opened, the bin covers can be automatically closed after garbage is put into the bin, people and objects do not need to contact the garbage bin, the hidden danger of sanitary infection of a user caused by the traditional garbage bin is thoroughly solved, various infectious diseases can be effectively prevented from being spread through the garbage, and the odor of the garbage in the bin is prevented from overflowing.
3) According to the invention, the capacity and the management space of the garbage can are enlarged by utilizing the mechanical compression device, so that the garbage treatment and transportation efficiency is improved.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, are included to provide a further understanding of the invention, and are incorporated in and constitute a part of this specification, illustrate exemplary embodiments of the invention and together with the description serve to explain the invention and not to limit the invention.
Fig. 1 is a schematic view of a compression mechanism in embodiment 1.
Fig. 2 and 3 are schematic diagrams of the compressor ball screw in embodiment 1 connected with the ratchet wheel through a gear set.
Fig. 4 is a schematic view of the shape of the trash can.
In the figure, 11, a first plate, 111, a first block body, 12, a second plate, 13, a second shaft body, 121, a second block body, 14, a ball screw, 15, a first shaft body, 16, a scissor structure, 21, a second gear, 22, a first gear, 23, a second bevel gear, 24, a ratchet wheel, 25, a ratchet pawl, 26, a third gear, 27, a first bevel gear, 28, a fourth gear, 31, a garbage can cover, 32 and a garbage can barrel body.
Detailed Description
It is to be understood that the following detailed description is exemplary and is intended to provide further explanation of the invention as claimed. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.
In the description of the present invention, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc., indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, and are only for convenience of description and simplicity of description, but do not indicate or imply that the device or element being referred to must have a specific orientation, be constructed and operated in a specific orientation, and thus, are not to be construed as limiting the present invention, and furthermore, the terms "first", "second", "third", etc., are only used for descriptive purposes and are not intended to indicate or imply relative importance.
It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of exemplary embodiments according to the invention. As used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, and it should be understood that when the terms "comprises" and/or "comprising" are used in this specification, they specify the presence of stated features, steps, operations, devices, components, and/or combinations thereof, unless the context clearly indicates otherwise.
As described in the background art, aiming at the defects that the existing trash can cannot meet the trash classification requirement and has poor turnover, the invention aims to provide an image recognition-based intelligent classification trash can, the trash can is detected and classified by utilizing an image information recognition and processing technology, the capacity and the management space of the trash can are enlarged by utilizing a mechanical compression device, an artificial intelligence algorithm such as an ant colony algorithm is utilized, and meanwhile, an optimal transportation solution is found for a transportation unit, and the invention is further explained by combining the attached drawings and the specific implementation mode.
Example 1
Firstly, it should be noted that, the service environment of the trash can provided by the embodiment is a specific environment such as a city CBD square, a park, a school, etc., the embodiment discloses an intelligent trash can based on image recognition, which comprises a plurality of trash can cylinders 32, a compression mechanism, a first sensor, a second sensor, a CCD and a processor, the trash can covers 31 are all connected to openings of the trash can cylinders 32, the compression mechanism is installed in the trash can, the first sensor is installed at the outer side of the trash can, the second sensor is installed in the trash can, the first sensor and the second sensor are all electrically connected with the processor, the CCD is installed outside the trash can, and the CCD is electrically connected with the processor.
It is understood that the trash can 32 can be made of metal or plastic with a cover, and the detailed structure thereof will not be described herein. In this embodiment, the first sensor and the second sensor are both infrared sensors, and actually, in this embodiment, in order to cope with the people flow from multiple directions, the first sensor and the second sensor are four in total, and are respectively located on the side surface of the trash can barrel 32, and due to the characteristics of the infrared sensors, the sensors can sense the human actions in the range and serve as signals for waking up the system, when a person is detected to be in the range of 30-40 cm, the processor is ready to detect the trash category; in addition, the second sensor in this embodiment is located inside the trash can, and emits infrared rays parallel to the bottom side of the trash can, and the second sensor is located at a certain height from the bottom side of the trash can to serve as a detection element for detecting the capacity of the trash can, and the specific principle is that when the second sensor is continuously shielded for more than a set time, for example, 20s, the processor determines that the trash in the trash can reaches the position of the second sensor, that is, the content of the trash can reaches the maximum value.
The garbage can barrels 32 are respectively hinged with the garbage can cover 31, the garbage can cover 31 is further connected with a servo motor, and the servo motor is electrically connected with the processor and the power supply.
It will be appreciated that the lid may be opened automatically using a servo motor.
It can be understood that, referring to fig. 4, the shape of the trash can in the present embodiment is as shown in fig. 4, and the trash can cover 31 has an arc plate shape.
It can be understood that the servo motor is connected with the trash can cover 31 through a belt transmission mechanism, and the belt transmission mechanism has relatively high transmission precision. Meanwhile, the belt transmission has the characteristics of simple structure, stable transmission, capability of buffering and absorbing vibration, capability of transmitting power between a large shaft distance and multiple shafts, low manufacturing cost, no need of lubrication, easiness in maintenance and the like, a strong layer made of the synchronous belt transmission steel wire rope deforms little after being loaded, the peripheral section of the toothed belt is basically unchanged, relative sliding between the belt and the belt wheel is avoided, and the transmission ratio is constant and accurate; the toothed belt is thin and light, can be used in occasions with higher speed, and has the linear speed of 40 m/s, the transmission ratio of 10 and the transmission efficiency of 98 percent; the structure is compact, and the wear resistance is good; the bearing capacity is small due to the small pretension force; the requirements for manufacturing and mounting precision are very high, strict center distance is required, and the synchronous toothed belt transmission is mainly used in occasions requiring accurate transmission ratio.
Therefore, the servo motor can be arranged at the bottom of the garbage can barrel 32.
Referring to fig. 1, the compressing mechanism includes a first plate 11, a second plate 12, and a scissors structure 16 connecting the first plate 11 and the second plate 12, and the scissors structure is connected to a power source.
More specifically, a first shaft body 15 is arranged at the bottom side of the first plate 11, a second shaft body 13 is arranged at the top side of the second plate 12, a first block body 111 provided with a first opening and used for the first shaft body 15 to pass through is arranged at the top side of the scissors structure 16, and a second block body 121 provided with a second opening and used for the second shaft body 13 to pass through is arranged at the bottom side of the inspection structure.
The engagement between the shaft and the opening provides a connection between the plates of the scissors structure 16
The power source is a direct current motor, and the direct current motor is connected with the scissor structure 16 through a ball screw 14. The bottom side of the scissors structure 16 is provided with a third block, and the third block is fixedly connected with the sliding block of the ball screw 14.
Considering that the scissors structure 16 performs a scissors movement during an actual reciprocating movement, the present embodiment uses a matching between the shaft body and the opening to movably connect one side of the scissors structure 16 with the plate, and the other side of the scissors structure 16 is fixedly connected with the plate.
It will be appreciated that in this embodiment, the ball screw 14 is also coupled to the ratchet 24 mechanism through a gear train to effect braking.
Specifically, referring to fig. 2 and 3, the gear set includes a first gear 22, a second gear 21, a first gear 22 shaft, a third gear 26, a fourth gear 28, a second gear 21 shaft, a first bevel gear 27 and a second bevel gear 23, the first gear 22 is connected to a lead screw of the ball screw 14, the second gear 21 is meshed with the first gear 22, the second gear 21 is connected to the first gear 22 shaft, the other end of the first gear 22 shaft is connected to the third gear 26, the third gear 26 is meshed with the fourth gear 28, the fourth gear 28 is connected to the second gear 21 shaft, the other end of the second gear 21 shaft is connected to the first bevel gear 27, the first bevel gear 27 is meshed with the second bevel gear 23, the first bevel gear 27 is perpendicular to the second bevel gear 23, the second bevel gear 23 is concentrically connected to the ratchet 24 through the third gear 26 shaft, and the ratchet 24 is matched with the ratchet pawl 25.
It can be understood that the scissor structure 16 and the ball screw 14 are modules commonly used in the existing elevator, the scissor elevator has the advantages of compact structure, stable operation, low noise, fast frequency response, large transmission power and easy operation, and the compression mechanism can transmit large force to generate large pressure on the contact surface, so as to achieve the functions of compressing garbage, reducing the volume of the garbage and expanding the capacity of the garbage bin. Meanwhile, the scissor structure 16 has a large stroke, and the designed compression lead can be completely realized. The ball screw 14 is used as a transmission device, so that the occupied space is small, and the transmission torque is large. In addition, the lower fault rate has been guaranteed to less part quantity, has guaranteed that the garbage bin can normally work longer time under arbitrary weather condition, reduces the maintenance cost, has improved the work efficiency of product greatly. The ball screw 14 converts the rotary motion into linear motion or converts the torque into an ideal product of axial repeated acting force, and has the characteristics of high precision, reversibility and high efficiency, and meanwhile, because the ball screw is difficult to self-lock, the moment and the power required by the compression mechanism after being stretched out and then being retracted are obviously reduced, so that the ball screw is very suitable for being applied to the embodiment. In addition, the ball screw 14 has small internal friction, and the steel balls and the threads are not easy to be damaged by friction, so that the service life is long, the design is favorable for long-term normal and stable work outdoors, and the maintenance cost is reduced.
The first plate 11 of the compressing mechanism is tightly attached to the inner wall of the garbage can barrel 32.
It will be appreciated that in this embodiment, the upward side of the first plate member 11 is provided with a dense concentration of protrusions in order to increase the frictional force.
It should be noted that the dc motor, the servo motor, and the controller in this embodiment are all connected to a power supply, and the power supply is a solar power generation device.
Example 2
Embodiment 2 discloses an intelligent garbage classification method based on image recognition, which comprises the following steps:
sensing a human body within a set distance, shooting images of garbage, classifying and marking the shot garbage by using an image information identification technology through a controller, automatically opening the garbage can covers 31 under corresponding categories, and automatically closing the garbage can covers 31 after garbage is thrown in;
compressing and pretreating garbage in the garbage can by using a garbage compressing mechanism;
the method comprises the steps of detecting the capacity of the garbage cans, uploading the capacity information of the garbage cans to a processing system, and planning an optimal route for a transport vehicle by the processing system according to the positions and loads of the garbage cans.
In the method, the CCD is used for shooting the garbage, the controller carries out image recognition according to an image shot by the CCD, and the recognized garbage is marked as I-type garbage, II-type garbage, III-type garbage, … and N-type garbage.
The class I garbage, the class II garbage, the class III garbage, … garbage and the class N garbage respectively correspond to a first garbage can, a second garbage can, a third garbage can, … garbage and an Nth garbage can; the controller is connected with the garbage can and controls the opening and closing of a garbage can cover of the garbage can.
In the method, an infrared sensor is used for detecting a human body and available capacity in the garbage can.
In the method, an ant colony algorithm is used, and an optimal path is planned for the vehicle by depending on the garbage bin capacity information uploaded to a processing system.
It can be understood that, it can adopt the raspberry group to handle in this embodiment, and to the picture that CCD shot, utilize the relevant knowledge of machine deep learning, gather, store, handle picture information, train the import model to go to the raspberry group and operate, realize visual identification and detection to rubbish, output correct signal and open corresponding classification rubbish bung 31, realize automatic classification. Meanwhile, the whole process does not need to contact the garbage can, and the garbage can is safe and sanitary.
A scissor-fork type compression device is arranged in the inner barrel of the garbage can with partial categories, when garbage reaches a certain amount, a compression mechanism automatically operates, the garbage volume is reduced, the bearing capacity of the garbage can is improved, and the vehicle transportation cost and the later-stage garbage disposal cost are reduced.
After the capacity of the garbage can reaches the upper limit, the garbage can automatically uploads information to the system, the system automatically plans a path, the most efficient and the lowest-cost path is provided for a transport vehicle, and the problem that the transport cost is improved after garbage classification is reduced is solved. Planning a path for the vehicle by adopting an ant colony algorithm.
The system may be a GIS database or a traffic planning database capable of traffic path planning using ant algorithms.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims (10)

1. The utility model provides an intelligent garbage bin based on image recognition, a serial communication port, including a plurality of garbage bin barrels, compressing mechanism, first sensor, second sensor, CCD and treater, the garbage bin lid is all connected to the opening of a plurality of garbage bin barrels, and compressing mechanism installs in the garbage bin, and first sensor installs in the garbage bin outside, and the second sensor is installed in the garbage bin, and the treater is connected to the equal electricity of first sensor and second sensor, and CCD installs outside the garbage bin, and the treater is connected to the CCD electricity.
2. The intelligent trash can based on image recognition as claimed in claim 1, wherein the trash can bodies are respectively hinged to trash can covers, the trash can covers are further connected with servo motors, and the servo motors are electrically connected with the processor and the power supply.
3. The intelligent garbage bin of claim 1, wherein the compression mechanism comprises a first plate, a second plate and a scissor mechanism connecting the first plate and the second plate, the scissor mechanism being connected to the power source.
4. The intelligent trash can based on image recognition of claim 3, wherein the power source is a direct current motor, and the direct current motor is connected with the scissor structure through a ball screw.
5. The intelligent trash can of claim 3, wherein the first plate of the compression mechanism is in close proximity to the inner wall of the trash can barrel.
6. The intelligent garbage classification method for the intelligent garbage bin based on the image recognition is characterized by comprising the following steps of:
sensing a human body within a set distance, shooting images of garbage, classifying and marking the shot garbage by using an image information identification technology through a controller, automatically opening garbage can covers under corresponding categories, and automatically closing the garbage can covers after the garbage is thrown in;
compressing and pretreating garbage in the garbage can by using a garbage compressing mechanism;
the method comprises the steps of detecting the capacity of the garbage cans, uploading the capacity information of the garbage cans to a processing system, and planning an optimal route for a transport vehicle by the processing system according to the positions and loads of the garbage cans.
7. The intelligent garbage classification method based on image recognition according to claim 6, wherein in the method, the garbage is shot by using a CCD, the controller performs image recognition according to the image shot by the CCD, and the recognized garbage is marked as type I garbage, type II garbage, type III garbage, … and type N garbage.
8. The intelligent garbage classification method based on image recognition according to claim 7, wherein the class I garbage, the I I th garbage, the II I garbage, … and the Nth garbage correspond to a first garbage can, a second garbage can, a third garbage can, … and an Nth garbage can, respectively; the controller is connected with the garbage can and controls the opening and closing of a garbage can cover of the garbage can.
9. The intelligent image recognition-based garbage classification method according to claim 6, characterized in that in the method, an infrared sensor is used to detect the human body and the available capacity in the garbage can.
10. The intelligent image recognition-based garbage classification method according to claim 6, characterized in that an ant colony algorithm is used in the method to plan an optimal path for the vehicle by means of the garbage bin capacity information uploaded to the processing system.
CN201911135973.5A 2019-11-19 2019-11-19 Intelligent garbage can based on image recognition and classification method Pending CN110817194A (en)

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CN111605915A (en) * 2020-05-28 2020-09-01 浙江冰立方环保科技有限公司 Commercial kitchen garbage classification device
WO2021246421A1 (en) * 2020-06-05 2021-12-09 京セラ株式会社 Resource recovery device and control method thereof

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