CN211033861U - Automatic garbage classification device - Google Patents
Automatic garbage classification device Download PDFInfo
- Publication number
- CN211033861U CN211033861U CN201920794801.8U CN201920794801U CN211033861U CN 211033861 U CN211033861 U CN 211033861U CN 201920794801 U CN201920794801 U CN 201920794801U CN 211033861 U CN211033861 U CN 211033861U
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- China
- Prior art keywords
- garbage
- image
- electronic device
- input port
- bottom side
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
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Links
- 239000010813 municipal solid waste Substances 0.000 title claims abstract description 63
- 238000004064 recycling Methods 0.000 claims abstract description 17
- KCZFLPPCFOHPNI-UHFFFAOYSA-N alumane;iron Chemical compound [AlH3].[Fe] KCZFLPPCFOHPNI-UHFFFAOYSA-N 0.000 claims description 3
- XAGFODPZIPBFFR-UHFFFAOYSA-N aluminium Chemical compound [Al] XAGFODPZIPBFFR-UHFFFAOYSA-N 0.000 claims description 3
- 229910052782 aluminium Inorganic materials 0.000 claims description 3
- 239000011888 foil Substances 0.000 claims description 3
- 239000011521 glass Substances 0.000 claims description 3
- 238000001514 detection method Methods 0.000 claims description 2
- 230000001537 neural effect Effects 0.000 claims description 2
- 239000002699 waste material Substances 0.000 description 7
- 238000013528 artificial neural network Methods 0.000 description 6
- 238000011084 recovery Methods 0.000 description 3
- 241000282414 Homo sapiens Species 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- CNQCVBJFEGMYDW-UHFFFAOYSA-N lawrencium atom Chemical compound [Lr] CNQCVBJFEGMYDW-UHFFFAOYSA-N 0.000 description 2
- 230000004308 accommodation Effects 0.000 description 1
- 238000003895 groundwater pollution Methods 0.000 description 1
- 239000010865 sewage Substances 0.000 description 1
Images
Classifications
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- 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
- B65F1/006—Rigid receptacles stored in an enclosure or forming part of it
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B07—SEPARATING SOLIDS FROM SOLIDS; SORTING
- B07C—POSTAL SORTING; SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTED PIECE-MEAL, e.g. BY PICKING
- B07C5/00—Sorting according to a characteristic or feature of the articles or material being sorted, e.g. by control effected by devices which detect or measure such characteristic or feature; Sorting by manually actuated devices, e.g. switches
- B07C5/34—Sorting according to other particular properties
- B07C5/342—Sorting according to other particular properties according to optical properties, e.g. colour
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B07—SEPARATING SOLIDS FROM SOLIDS; SORTING
- B07C—POSTAL SORTING; SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTED PIECE-MEAL, e.g. BY PICKING
- B07C5/00—Sorting according to a characteristic or feature of the articles or material being sorted, e.g. by control effected by devices which detect or measure such characteristic or feature; Sorting by manually actuated devices, e.g. switches
- B07C5/36—Sorting apparatus characterised by the means used for distribution
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B07—SEPARATING SOLIDS FROM SOLIDS; SORTING
- B07C—POSTAL SORTING; SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTED PIECE-MEAL, e.g. BY PICKING
- B07C2501/00—Sorting according to a characteristic or feature of the articles or material to be sorted
- B07C2501/0054—Sorting of waste or refuse
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- 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
- B65F2210/168—Sensing means
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02W—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO WASTEWATER TREATMENT OR WASTE MANAGEMENT
- Y02W30/00—Technologies for solid waste management
- Y02W30/10—Waste collection, transportation, transfer or storage, e.g. segregated refuse collecting, electric or hybrid propulsion
Landscapes
- Engineering & Computer Science (AREA)
- Mechanical Engineering (AREA)
- Sorting Of Articles (AREA)
Abstract
The utility model discloses a rubbish automatic classification device contains: an image capturing unit is arranged in a recycling box, the top of the recycling box is provided with an input port and an actuating button, the bottom side of the input port is provided with an image capturing unit, an electronic device and a turntable, the bottom side of the turntable is provided with a movable part, the bottom side of the movable part is provided with a containing space, garbage enters the recycling box from the input port and then stays on the turntable, after the actuating button is pressed down, the image capturing unit shoots the garbage on the turntable to obtain an image which is transmitted to the electronic device, the electronic device obtains a kind of information corresponding to the image according to the image by an algorithm, controls the rotation of the turntable and the movable part, and puts the garbage into the corresponding containing space according to the kind of information, therefore, the utility model transmits the image of an object to the electronic device to analyze the kind of information of the object after the image of the object is captured by the image capturing unit, and puts the object into a plurality, so as to achieve the purpose of automatically classifying the garbage and reduce the labor cost.
Description
Technical Field
The present invention relates to a garbage sorting device, and more particularly to a garbage automatic sorting device that identifies the type of an object according to an object image by an algorithm and allows the object to enter a corresponding receiving space.
Background
As modern people pursue economic growth and life convenience, a lot of non-natural artificial articles are manufactured, the artificial articles are not easily decomposed naturally, and when the artificial articles are discarded into the natural environment, the artificial articles become harmful garbage.
These harmful wastes not only pollute the land and harm the life, but also eventually harm human beings along with the food chain, and if the wastes are incinerated in an incinerator, a large amount of gas harmful to human bodies is generated, and a large amount of land is occupied when a landfill is built, and groundwater pollution is caused by sewage leaked from the wastes, so that the works of reducing the wastes and recovering resources are not slow.
Resource recycling cannot be classified in a mechanical mode due to the diversity of garbage and difficult standardization, and is manually performed, so that excessive manpower requirements are generated under the condition of depending on manpower classification in large quantity, and the cost burden of resource recycling operators is caused.
SUMMERY OF THE UTILITY MODEL
An object of the present invention is to provide an automatic garbage sorting device, which obtains the image of garbage by the image capturing unit, transmits the image to the electronic device according to the garbage, identifies the garbage type by the algorithm, and makes the garbage enter the corresponding accommodating space.
Based on this, the utility model mainly adopts the following technical means to realize the above-mentioned purpose.
An automatic garbage sorting device, comprising: an image capturing unit is arranged in a recycling box, an input port and a starting button are arranged at the top of the recycling box, the image capturing unit, an electronic device and a rotary disc are arranged at the bottom side of the input port, a movable member is arranged at the bottom side of the rotary disc, a plurality of containing spaces are arranged at the bottom side of the movable member, garbage enters the recycling box from the input port and then stops on the rotary disc, after the starting button is pressed down, the image capturing unit shoots the garbage on the rotary disc to obtain an image which is transmitted to the electronic device, the electronic device obtains class information corresponding to the image according to the image by an algorithm, controls the rotary disc and the movable member to rotate, and puts the garbage into the corresponding containing spaces according to the class information to finish garbage classification.
Furthermore, the start button can be replaced by a detection device which is arranged at the bottom side of the input port and automatically detects the garbage entering the recycling bin from the input port, and drives the image acquisition unit, the electronic device and the turntable to classify the garbage.
Further, the algorithm is a neural network-like algorithm.
Further, the garbage is one of plastic bottles, PET bottles, general garbage, paper, iron-aluminum cans, glass bottles, aluminum foil bags or other wastes in daily life.
After the technical means is adopted, the utility model discloses utilize image acquisition unit will shoot rubbish on the carousel and obtain an image, convey to electron device, electron device obtains a kind of information that corresponds this image with the algorithm according to this image to control carousel and movable part rotation action, according to this kind of information with this rubbish drop into this accommodation space that corresponds, accomplish waste classification, required manpower when with the classification of saving rubbish, reduce resource recovery's cost.
Drawings
Fig. 1 is a flowchart of an automatic garbage sorting apparatus according to a first embodiment of the present invention.
Fig. 2 is a schematic view of the automatic garbage sorting device according to the first embodiment of the present invention.
Fig. 3 is a schematic view of an automatic garbage sorting device according to a second embodiment of the present invention.
Description of the symbols
101 place
103 movable member
3 image capturing unit
5 electronic device
701 accommodating space
703 accommodating space
705 accommodating space
707 accommodating space
9 track
1101 place
1103 moving part
1301 the space
1303 accommodating space
1305 containing space
1307 accommodating space.
Detailed Description
In order to provide a further understanding and appreciation for the features and advantages of the invention, reference should be made to the following detailed description of preferred embodiments, taken in conjunction with the accompanying drawings, in which:
please refer to fig. 1, which is a flowchart illustrating a garbage automatic classification according to a first embodiment of the present invention. As shown, the steps include: step S1: shooting an image; step S3: obtaining category information; and step S5: so that the garbage enters the accommodating space.
Please refer to fig. 2, which is a schematic diagram of an automatic garbage sorting device according to a first embodiment of the present invention, the structure of which includes: an image capturing unit 3 is arranged in a recycling box 20, an input opening 21 and a starting button 22 are arranged at the top of the recycling box 20, the image capturing unit 3, an electronic device 5 and a turntable 101 are arranged at the bottom side of the input opening 21, a movable member 103 is arranged at the bottom side of the turntable 101, a plurality of accommodating spaces 701, 703, 705 and 707 are arranged at the bottom side of the movable member 103, garbage enters the recycling box 20 from the input opening 21 and stops on the turntable 101, after the starting button 22 is pressed, the image capturing unit 3 shoots the garbage on the turntable 101 to obtain an image and transmits the image to the electronic device 5, the electronic device 5 obtains class information corresponding to the image by an algorithm according to the image, controls the turntable 101 and the movable member 103 to rotate, and puts the garbage into the corresponding accommodating spaces 701, 703, 705 and 707 according to the class information to finish garbage classification, wherein the starting button can be replaced by a detecting device, the detecting device is arranged at the bottom side of the input port, automatically detects the garbage entering the recycling bin from the input port, and drives the image capturing unit, the electronic device and the turntable to classify the garbage, wherein the algorithm is a neural network algorithm.
Please refer to fig. 1 and fig. 2. When the user discards rubbish, the utility model discloses step S1~ S5 can be carried out, step S1: the image capturing unit 3 captures an image of the garbage, which is stopped at the turntable 101 from the input port. The garbage is, for example: plastic bottles, PET bottles, general garbage, paper, iron-aluminum cans, glass bottles, aluminum foil bags or other waste in daily life.
Step S3 is to obtain category information, the image capturing unit 3 transmits the image to the electronic device 5 in a wired or wireless manner, and the electronic device 5 obtains the category information corresponding to the trash according to the image by an algorithm, for example, when the trash is a plastic bottle, the electronic device 5 obtains the category information corresponding to the plastic bottle according to the image.
The algorithm is a neural network, and more specifically, the neural network is a Training (Training) neural network, and when an image is input to the neural network, the neural network outputs corresponding category information according to the input image.
In step S5, the electronic device 5 makes the garbage enter the accommodating space, and the turntable 101 makes the garbage enter the accommodating spaces 701, 703, 705, and 707 according to the obtained category information.
Specifically, after the electronic device 5 obtains the category information, it sends a control signal corresponding to the category information to drive the movable element 103 according to the category information, so that the turntable 101 can enter the garbage into the accommodating spaces 701, 703, 705, and 707 according to the control signal, thereby saving the manpower required for garbage classification and reducing the cost of resource recovery.
Please refer to fig. 3, which is a schematic diagram of an automatic garbage sorting device according to a second embodiment of the present invention. The structure comprises: the image capturing device comprises an image capturing unit 3, an electronic device 5, a track 9, a placing part 1011, a movable element 1103, and accommodating spaces 1301, 1303, 1305 and 1307. Wherein, the turntable 101 is connected with a movable member 103, and the movable member 103 can move along the track 9.
In this embodiment, steps S1 to S3 are the same as the first embodiment, and are not repeated herein, in step S5, the electronic device 5 obtains the category information and then sends a control signal to drive the movable element 103 to move along the track 9 according to the category information, so that the turntable 101 moves to above the accommodating spaces 1301, 1303, 1305, and 1307, and garbage enters the accommodating spaces 1301, 1303, 1305, and 1307. The turntable 101 can tilt or open the bottom hole or allow the garbage to enter the accommodating spaces 1301, 1303, 1305 and 1307, so as to save the manpower required for garbage classification and reduce the cost of resource recovery.
Claims (4)
1. An automatic garbage classification device, comprising: an image capturing unit is arranged in a recycling box, an input port and a starting button are arranged at the top of the recycling box, the image capturing unit, an electronic device and a rotary disc are arranged at the bottom side of the input port, a movable member is arranged at the bottom side of the rotary disc, a plurality of containing spaces are arranged at the bottom side of the movable member, garbage enters the recycling box from the input port and then stops on the rotary disc, after the starting button is pressed down, the image capturing unit shoots the garbage on the rotary disc to obtain an image which is transmitted to the electronic device, the electronic device obtains class information corresponding to the image according to the image by an algorithm, controls the rotary disc and the movable member to rotate, and puts the garbage into the corresponding containing spaces according to the class information to finish garbage classification.
2. The automatic sorting device of refuse according to claim 1, characterized in that: the start button can be replaced by a detection device which is arranged at the bottom side of the input port, automatically detects garbage entering the recycling bin from the input port, and drives the image acquisition unit, the electronic device and the turntable to classify the garbage.
3. The automatic sorting device of refuse according to claim 1, characterized in that: the algorithm is a neural network-like algorithm.
4. The automatic sorting device of refuse according to claim 1, characterized in that: the garbage can is plastic bottle, PET bottle, general garbage, paper, iron-aluminum can, glass bottle or aluminum foil bag.
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| TW107210643 | 2018-08-03 | ||
| TW107210643 | 2018-08-03 |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN211033861U true CN211033861U (en) | 2020-07-17 |
Family
ID=67068988
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201920794801.8U Expired - Fee Related CN211033861U (en) | 2018-08-03 | 2019-05-29 | Automatic garbage classification device |
Country Status (3)
| Country | Link |
|---|---|
| JP (1) | JP3222478U (en) |
| CN (1) | CN211033861U (en) |
| DE (1) | DE202019103055U1 (en) |
Cited By (5)
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| CN110238083A (en) * | 2019-06-25 | 2019-09-17 | 齐鲁工业大学 | A kind of wood skin automatic-grading device and stage division |
| CN111071651A (en) * | 2019-11-21 | 2020-04-28 | 金月梅 | Intelligent classification dustbin |
| CN112620165A (en) * | 2020-12-11 | 2021-04-09 | 江西理工大学 | Garbage classification method |
| CN113443292A (en) * | 2021-06-07 | 2021-09-28 | 江苏大学 | Intelligent household garbage classification system |
| CN117699280A (en) * | 2024-02-01 | 2024-03-15 | 山东乐谷信息科技有限公司 | Digital municipal garbage separation equipment and application method thereof |
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| CN110929760A (en) * | 2019-10-30 | 2020-03-27 | 中国科学院自动化研究所南京人工智能芯片创新研究院 | Garbage classification software based on computer vision |
| CN110683243A (en) * | 2019-11-15 | 2020-01-14 | 哈尔滨理工大学 | Multifunctional integrated intelligent classification garbage can based on image processing technology |
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| CN111874486A (en) * | 2020-07-28 | 2020-11-03 | 重庆邮电大学 | Novel intelligent garbage classification and recovery equipment |
| CN111907975A (en) * | 2020-08-24 | 2020-11-10 | 环创(厦门）科技股份有限公司 | Garbage classification system assisting in cultivation habit |
| CN112046969A (en) * | 2020-08-31 | 2020-12-08 | 华中农业大学 | Intelligent classification garbage bin based on cloud calculates |
| CN114148648B (en) * | 2020-09-07 | 2024-06-25 | 徐州无废城市技术研究院有限公司 | Household garbage source classifying and sorting equipment and method |
| CN112158483A (en) * | 2020-09-18 | 2021-01-01 | 安徽工业经济职业技术学院 | Automatic garbage collection, identification and classification system based on artificial intelligence |
| CN112660655B (en) * | 2020-12-10 | 2022-11-29 | 成都工业学院 | Intelligent classification garbage bin based on degree of depth study |
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2019
- 2019-05-23 JP JP2019001837U patent/JP3222478U/en not_active Expired - Fee Related
- 2019-05-29 DE DE202019103055.0U patent/DE202019103055U1/en not_active Expired - Lifetime
- 2019-05-29 CN CN201920794801.8U patent/CN211033861U/en not_active Expired - Fee Related
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110238083A (en) * | 2019-06-25 | 2019-09-17 | 齐鲁工业大学 | A kind of wood skin automatic-grading device and stage division |
| CN111071651A (en) * | 2019-11-21 | 2020-04-28 | 金月梅 | Intelligent classification dustbin |
| CN112620165A (en) * | 2020-12-11 | 2021-04-09 | 江西理工大学 | Garbage classification method |
| CN112620165B (en) * | 2020-12-11 | 2022-09-13 | 江西理工大学 | Garbage classification method |
| CN113443292A (en) * | 2021-06-07 | 2021-09-28 | 江苏大学 | Intelligent household garbage classification system |
| CN117699280A (en) * | 2024-02-01 | 2024-03-15 | 山东乐谷信息科技有限公司 | Digital municipal garbage separation equipment and application method thereof |
Also Published As
| Publication number | Publication date |
|---|---|
| DE202019103055U1 (en) | 2019-06-12 |
| JP3222478U (en) | 2019-08-01 |
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Granted publication date: 20200717 |