CN115783550B - Garbage throwing behavior collecting system - Google Patents
Garbage throwing behavior collecting system Download PDFInfo
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- CN115783550B CN115783550B CN202211636623.9A CN202211636623A CN115783550B CN 115783550 B CN115783550 B CN 115783550B CN 202211636623 A CN202211636623 A CN 202211636623A CN 115783550 B CN115783550 B CN 115783550B
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- 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
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Abstract
The invention provides a garbage throwing behavior collection system, which comprises a garbage room, a collection module, an adjustment module, a storage module, a processing module and a display module, wherein the collection module is connected with the storage module and the processing module, and the processing module is connected with the storage module and the display module. According to the invention, the identity of the garbage throwing person is determined by arranging the face acquisition camera and the garbage collection camera when garbage throwing behaviors occur, and the related throwing behaviors are associated with the garbage throwing person, so that the garbage throwing behaviors can be analyzed from different dimensions such as age, occupation and the like, the pertinence of garbage classification is ensured, and the universality of the declaration is improved; meanwhile, the quality of the images collected by each camera can be guaranteed by arranging the adjusting module at the bottom of each dustbin, so that the accuracy of image identification is guaranteed, the improvement on the existing garbage room is small, and the cost is low.
Description
Technical Field
The invention relates to the field of garbage classification, in particular to a garbage throwing behavior collection system.
Background
Under the promotion of quantitative indexes of reclamation, harmlessness and reduction, garbage classification work of management departments of province, city, district and community is gradually implemented from the original paper filling to be a practical and effective actual combat method, and a great number of methods are tried in the aspect of improving garbage classification throwing quality. The related knowledge of garbage classification is announced by the methods of attaching posters, issuing propaganda books, handling training classes, internet transmission and the like in each street and community, but the targeted announcement cannot be achieved due to different basic knowledge mastered by each person.
In order to realize more targeted announcement, the garbage throwing conditions of residents are often supervised by methods such as image recognition, etc., and the common method is to recognize the identity of the residents first and then track the throwing quality of the residents. In order to identify the identities of residents, a plurality of communities need to carry out larger improvement on garbage houses, such as a special access control system is arranged, the identities of the residents are confirmed, even the residents need to select the garbage types to be put in first, the corresponding garbage cans can be opened, the putting process is complicated, the requirements on the residents are higher, the actual putting situation is not easy to collect, the method is not suitable for the initial stage that the garbage classification needs to be announced in a targeted manner, the garbage putting points of the existing communities are improved according to the existing garbage classification supervision method, and the cost is high.
Disclosure of Invention
In order to solve the problems, the invention provides a garbage throwing behavior collecting system.
The main content of the invention comprises:
a collection system for garbage disposal activities, comprising:
the garbage room comprises at least one throwing shop window and a plurality of garbage cans;
the acquisition module comprises at least one face acquisition camera and at least one garbage acquisition camera; the garbage collection camera is arranged right above the garbage can and is used for collecting video streams of the region in the garbage can and the peripheral region of the garbage can; the face acquisition cameras are arranged behind the garbage bin and are opposite to the putting show window, and are used for acquiring video streams in the putting show window area;
the adjusting module comprises an environment collecting assembly and a supporting mechanism, wherein the environment collecting assembly is used for acquiring environment parameters around the garbage can, the supporting mechanism is arranged at the bottom of the single garbage can, and the supporting mechanism is used for adjusting the height of garbage in the garbage can according to data acquired by the environment collecting assembly;
the storage module is used for storing video streams of the garbage can inner area, the garbage can peripheral area and the video stream of the show window throwing area transmitted by the face acquisition camera;
the processing module comprises a release behavior discovery unit and a release discovery unit; the throwing behavior discovery unit is used for acquiring the change conditions of the inner area of the garbage can and the peripheral area of the garbage can through change detection, and acquiring garbage information through target identification when the peripheral area of the garbage can changes; when the area in the dustbin changes, acquiring hand motion information through target identification; the person-to-be-put-in finding unit determines a target person to be put in according to the hand motion information;
and the display module is used for evaluating the junk information and the hand motion information acquired by the release behavior discovery unit, and displaying the evaluation result after being correlated with the target release person.
Preferably, the release behavior discovery unit comprises a change detection subunit, a garbage classification subunit and a hand movement subunit; the change detection subunit processes the image frames of the video streams of the inner area of the garbage can and the peripheral area of the garbage can through a frame difference method, and when the peripheral area of the garbage can changes, a first change prompt is sent out; when the area in the garbage can changes, a second change prompt is sent out;
the hand movement subunit acquires a first change prompt, analyzes image frames containing hands before and after the change in the acquired video stream of the peripheral area of the garbage can, and acquires the throwing direction of hand movement through a throwing direction identification algorithm;
and the garbage classification subunit acquires a garbage classification result through an image classification algorithm by analyzing image frames before and after the change in the video stream of the area in the garbage can after acquiring the second change prompt.
Preferably, after the second variation prompt is obtained, the image frames before and after variation in the video stream of the area in the garbage can are analyzed, and the result of garbage classification is obtained through an image classification algorithm, which comprises the following steps:
acquiring at least one frame of picture before the occurrence of the change and at least one frame of picture after the occurrence of the change;
comparing the change conditions of the areas in the garbage cans in the corresponding two frames of pictures through a twin network to generate masks of the change areas;
and cutting out the image of the input garbage according to the mask position, and identifying the classification result of the input garbage by utilizing a target detection algorithm.
Preferably, the delivering body finding unit comprises a multi-person matching subunit and an identification quality improving subunit; the multi-person matching subunit is used for determining a target throwing person from target image frames containing a plurality of faces, wherein the target image frames are obtained from video streams of a throwing shop window area transmitted by the face acquisition camera; the recognition quality improving subunit adjusts parameters and installation angles of the face acquisition cameras according to environmental parameters of the environment collecting assembly, detects faces in video streams transmitted by the face acquisition cameras, obtains optimal face information, and determines target delivery people.
Preferably, the multi-person matching subunit is configured to determine a target person from a target image frame including a plurality of faces, and includes the following steps:
when the first change prompt or the second change prompt is acquired, acquiring a multi-frame face image containing a plurality of faces in a corresponding cache video stream acquired by a face acquisition camera;
acquiring face sizes and face positions of a plurality of faces in each frame of face image, wherein the face positions refer to coordinates of the faces in a show window area;
scoring the face sizes and the face positions of a plurality of faces in each frame of face image according to preset evaluation criteria to respectively obtain face size scores and face position scores;
determining a preset throwing direction according to the face position; comparing a preset throwing direction with the throwing direction of the hand motion obtained by the hand motion subunit, and grading according to a preset rule to obtain a throwing direction score;
and carrying out weighted summation on the face size score, the face position score and the throwing direction score to obtain the corresponding face grade score, and selecting the face with the maximum face grade score as a target throwing person.
Preferably, the environment collecting assembly comprises an environment light sensor arranged in the garbage room and used for acquiring the environment brightness in the garbage room; the supporting mechanism adjusts the height of the bottom of the dustbin according to the ambient brightness.
Preferably, the garbage can comprises a can body with an upper opening and a lower opening and a bottom can, the supporting mechanism comprises a lifting bottom plate and a driving mechanism for driving the lifting bottom plate to move up and down, the driving mechanism is arranged in the bottom can, and the driving mechanism drives the lifting bottom plate to move up and down in the can body according to the ambient brightness acquired by the ambient light sensor.
Preferably, the driving mechanism comprises a regulating rack horizontally arranged, a driving gear meshed with the regulating rack, a regulating sleeve body connected with the bottom of the bottom barrel through a bearing, a lifting column body connected with the lifting bottom plate and a driving motor; the lifting column body is in threaded connection with the adjusting sleeve body; and a main shaft of the driving motor is connected with the driving gear.
Preferably, a weight sensor is arranged on the lifting bottom plate; a plurality of nozzles are distributed on the lifting bottom plate, a spray pipe body is distributed in the lifting cylinder, and the spray pipe body is connected with the nozzles.
Preferably, the end surface of the lifting bottom plate, which is abutted against the inner wall of the barrel body, is provided with a hairbrush, and at least one fan is further arranged in the bottom barrel.
The invention has the beneficial effects that: according to the garbage throwing behavior collection system, the face acquisition cameras are arranged, and when garbage throwing behaviors occur, the identities of garbage throwing persons are determined, and the relevant throwing behaviors are associated with the garbage throwing persons, so that the garbage throwing behaviors can be analyzed from different dimensions such as age, occupation and the like, the pertinence of garbage classification is guaranteed, and meanwhile, the universality of the declaration is improved; meanwhile, the quality of the images collected by each camera can be guaranteed by arranging the adjusting module at the bottom of each dustbin, so that the accuracy of image identification is guaranteed, the improvement on the existing garbage room is small, and the cost is low.
Drawings
FIG. 1 is a schematic view of a support mechanism according to the present invention;
reference numerals:
1. the device comprises a motor, 2, a driving gear, 3, an adjusting rack, 4, a driven gear, 5, an adjusting sleeve body, 6, a lifting column body, 7, a bearing, 8, a spraying port, 9, a lifting bottom plate, 10, a brush, 11, a barrel main body, 12, a bottom barrel, 13, a fan, 14 and a liquid outlet.
Detailed Description
The technical scheme protected by the invention is specifically described below with reference to the accompanying drawings.
The invention discloses a collection system for garbage throwing behavior, which is applied to an existing garbage throwing point, wherein the existing garbage throwing point comprises a garbage room, at least one throwing window is usually arranged on one wall of the garbage room, a plurality of garbage cans are arranged on the inner side of a wall body close to the throwing window, in actual use, at least four garbage cans are provided, each garbage can is respectively used for collecting different types of garbage, and a garbage collection camera is arranged right above each garbage can and used for acquiring videos of an area in the garbage can and an area around the garbage can; the contours of the inner area of the garbage can and the peripheral area of the garbage can are bounded by the opening of the garbage can, the classification quality of the garbage is evaluated by identifying the change condition of the inner area of the garbage can, the throwing direction of the garbage is obtained by identifying the change condition of the peripheral area of the garbage can, whether illegal throwing occurs is evaluated on one hand, and on the other hand, a target throwing person can be identified in a helpful mode.
In order to improve the quality of the collected video, reduce the complexity of image processing and improve the accuracy of target identification, the structure of the existing garbage can is improved to keep the optimal distance between the garbage collection camera and the target to be identified; meanwhile, when the adjusting module reaches the set height, the adjusting module can also be used for reminding the overflow of the garbage can. In one embodiment, four garbage cans can share one garbage collection camera, and when the height of garbage in each can is regulated, the position and other data of each garbage can in a collection area are combined, so that calculation is relatively more complicated; in other embodiments, each garbage can is provided with an independent garbage collection camera, so that the garbage collection cameras can be respectively adjusted according to the throwing condition and the environment brightness in each garbage can, and collection and recognition can be more accurate.
Further, the relationship between the adjustment height, the parameters of the garbage collection camera, the environment brightness and the like and the selected target recognition algorithm have a direct relationship, and for those skilled in the art, the relationship between the parameters can be specifically set according to the specification of the input image required by the target recognition model to be used.
The invention provides a garbage throwing behavior collection system, which comprises a garbage room, a collection module, an adjustment module, a storage module, a processing module and a display module, wherein the collection module collects video streams of a garbage can inner area, a garbage can peripheral area and a throwing shop window area, the video streams are stored in the storage module, when the garbage throwing behavior occurs, the processing module obtains stored video streams, garbage information which is thrown and identity information of a corresponding throwing person are obtained after target identification, and finally, related analysis results are displayed in various modes, such as characters, charts or related video screenshots.
More specifically, the garbage room comprises at least one throwing shop window and a plurality of garbage cans, and the structures of the garbage cans are improved to a certain extent; as shown in fig. 1, the garbage can comprises a can main body 11 and a bottom can 12 which are arranged up and down, the can main body 11 is of a structure with two open ends, the bottom can 12 is of a structure with one open end, the two can be integrally formed, and can also be independently and detachably combined for use, and in one embodiment, the bottom can 12 can be provided with different can bodies; the supporting mechanism is arranged in the bottom barrel and comprises a lifting bottom plate 9 and a driving mechanism, the driving mechanism drives the lifting bottom plate 9 to move up and down in the barrel main body 11, and two ends of the driving mechanism are kept sealed with the inner wall of the barrel main body 11 to prevent garbage from falling into the bottom barrel; specifically, the driving mechanism comprises a regulating rack 3, a driving gear 2, a regulating sleeve body 5, a lifting column 6 in threaded connection with the regulating sleeve body 5 and a driving motor 1 which are horizontally arranged; the length of the adjusting rack 3 may be smaller than the width of the bottom tub 12, so that the adjusting rack 3 can move horizontally in the bottom tub 12 with enough space, but may extend outside the bottom tub 12 in other embodiments.
The driving gear 2 is connected with a main shaft of the driving motor 1 and meshed with the adjusting rack 3; the adjusting sleeve body 5 is connected to the bottom of the bottom barrel 12 through a bearing 7 and is meshed with the adjusting rack 3 through a driven gear 4; the driving motor 1 drives the driving gear 2 to rotate, so that the adjusting rack 3 horizontally moves, the adjusting sleeve body 5 can rotate along with the movement of the adjusting sleeve body 5, and the adjusting sleeve body 5 is screwed or unscrewed with the lifting cylinder along with the rotation of the adjusting sleeve body 5, so that the lifting bottom plate 9 is lifted or lowered.
In this embodiment, the lifting height of the lifting base plate 9 is determined by the environment collecting assembly, and the environment collecting assembly comprises an environment light sensor arranged in the garbage room and is used for acquiring the environment brightness in the garbage room; a weight sensor is arranged on the lifting bottom plate 9.
In other embodiments, when the lifting bottom plate 9 descends to a set height, the lifting bottom plate indicates that the garbage input amount is full, and a prompt of overflow can be sent out, so that staff can be prompted to intervene in treatment, after the staff topples over, the lifting bottom plate 9 is adjusted to an initial height according to the ambient brightness, when the lifting bottom plate is restored to the initial height, the barrel wall can be cleaned through the brushes 10 arranged at the two ends of the lifting bottom plate 9, then the barrel wall can be cleaned through spraying pipes arranged in the lifting cylinder 6 and spraying cleaning agents or clear water through the nozzles arranged in the spraying ports 8 on the bottom surface of the lifting bottom plate, the waste water is discharged through the liquid outlet 14 on the bottom of the bottom barrel 12, and finally the bottom barrel is dried through the fan 13. And the automatic garbage can cleaning can be completed.
The acquisition module comprises at least one face acquisition camera and at least one garbage acquisition camera; the garbage collection camera is arranged right above the garbage can and is used for collecting video streams of an area in the garbage can and a peripheral area of the garbage can; the face acquisition cameras are arranged behind the garbage bin and are opposite to the putting show window, and are used for acquiring video streams in the putting show window area; the storage module is used for storing the video streams of the garbage bin inner area and the garbage bin peripheral area transmitted by the garbage collection camera and the video stream of the show window throwing area transmitted by the face collection camera.
The processing module comprises a release behavior discovery unit and a release discovery unit; the throwing behavior discovery unit is used for acquiring the change conditions of the inner area of the garbage can and the peripheral area of the garbage can through change detection, and acquiring garbage information through target identification when the peripheral area of the garbage can changes; when the area in the dustbin changes, acquiring hand motion information through target identification; specifically, the release behavior discovery unit comprises a change detection subunit, a garbage classification subunit and a hand movement subunit; the change detection subunit processes the image frames of the video streams of the inner area of the garbage can and the peripheral area of the garbage can through a frame difference method, and when the peripheral area of the garbage can changes, a first change prompt is sent out; when the area in the garbage can changes, a second change prompt is sent out;
the hand motion subunit is configured to analyze, when a first change prompt appears, that is, the change appears in the peripheral area of the dustbin, that is, the hand appears possibly, and at this time, the hand motion subunit analyzes an image frame including the hand before and after the change in the obtained video stream of the peripheral area of the dustbin, obtains a throwing direction of hand motion through a throwing direction recognition algorithm, and determines whether a target throwing person and a violation throwing person are determined by combining with subsequent face information, where the determining part will be elaborated in determining the target throwing person.
The garbage classification subunit acquires a garbage classification result through an image classification algorithm by analyzing image frames before and after the change in the video stream of the area in the garbage can after the second change prompt is acquired, and specifically acquires at least one frame of image before the change and at least one frame of image after the change; comparing the change conditions of the areas in the garbage cans in the corresponding two frames of pictures through a twin network to generate masks of the change areas; and cutting out the image of the input garbage according to the mask position, and identifying the classification result of the input garbage by utilizing a target detection algorithm.
In this embodiment, the person-to-be-put-in discovery unit determines a target person to be put in according to the hand motion information; specifically, when the inner area of the dustbin and the peripheral area of the dustbin change, the person-to-be-put-in finding unit obtains a video stream corresponding to the change occurrence time, which is collected by the face collection camera stored in the storage module, and the person-to-be-put-in person is obtained by identifying face information in the video stream.
Further, the delivering body finding unit comprises a multi-person matching subunit and an identification quality improving subunit; the multi-person matching subunit is used for determining a target throwing person from target image frames containing a plurality of faces, wherein the target image frames are obtained from video streams of a throwing shop window area transmitted by the face acquisition camera; when the first change prompt or the second change prompt occurs, acquiring multi-frame face images containing a plurality of faces in corresponding cache video streams acquired by the face acquisition cameras; acquiring face sizes and face positions of a plurality of faces in each frame of face image, wherein the face positions refer to coordinates of the faces in a show window area; scoring the face sizes and the face positions of a plurality of faces in each frame of face image according to preset evaluation criteria to respectively obtain face size scores and face position scores; determining a preset throwing direction according to the face position; comparing a preset throwing direction with the throwing direction of the hand motion obtained by the hand motion subunit, and grading according to a preset rule to obtain a throwing direction score; dividing the size of the face into a plurality of fractions,
The face position score and the throwing direction score are weighted and summed to obtain corresponding face grade score, and the face grade score is selected
The face with the largest number is taken as the target to put in the person.
When only the first change prompt is generated and the second change prompt is not generated, that is, the hand information appears in the peripheral area of the garbage can, but when the change does not occur in each garbage can, the garbage can is recorded as one illegal delivery, and at the moment, only the delivery behavior is recorded. And when a second change prompt occurs at the same time, namely that the garbage is put into the bin, the quality of garbage classification can be recorded.
And the recognition quality improving subunit adjusts parameters and installation angles of the face acquisition camera according to environmental parameters of the environment collection assembly, detects faces in video streams transmitted by the face acquisition camera, obtains optimal face information, determines target delivery people, and can also realize face detection and target recognition models by adopting the existing AI model.
The foregoing description is only illustrative of the present invention and is not intended to limit the scope of the invention, and all equivalent structures or equivalent processes or direct or indirect application in other related technical fields are included in the scope of the present invention.
Claims (10)
1. A system for collecting garbage disposal activity, comprising:
the garbage room comprises at least one throwing shop window and a plurality of garbage cans;
the acquisition module comprises at least one face acquisition camera and at least one garbage acquisition camera; the garbage collection camera is arranged right above the garbage can and is used for collecting video streams of the region in the garbage can and the peripheral region of the garbage can; the face acquisition cameras are arranged behind the garbage bin and are opposite to the putting show window, and are used for acquiring video streams in the putting show window area;
the adjusting module comprises an environment collecting assembly and a supporting mechanism, wherein the environment collecting assembly is used for acquiring environment parameters around the garbage can, the supporting mechanism is arranged at the bottom of the single garbage can, and the supporting mechanism is used for adjusting the height of garbage in the garbage can according to data acquired by the environment collecting assembly;
the storage module is used for storing video streams of the garbage can inner area, the garbage can peripheral area and the video stream of the show window throwing area transmitted by the face acquisition camera;
the processing module comprises a release behavior discovery unit and a release discovery unit; the throwing behavior discovery unit is used for acquiring the change conditions of the inner area of the garbage can and the peripheral area of the garbage can through change detection, and acquiring garbage information through target identification when the peripheral area of the garbage can changes; when the area in the dustbin changes, acquiring hand motion information through target identification; the person-to-be-put-in finding unit determines a target person to be put in according to the hand motion information;
and the display module is used for evaluating the junk information and the hand motion information acquired by the release behavior discovery unit, and displaying the evaluation result after being correlated with the target release person.
2. The garbage collection system according to claim 1, wherein the garbage placement behavior discovery unit comprises a fluctuation detection subunit, a garbage classification subunit, and a hand movement subunit; the change detection subunit processes the image frames of the video streams of the inner area of the garbage can and the peripheral area of the garbage can through a frame difference method, and when the peripheral area of the garbage can changes, a first change prompt is sent out; when the area in the garbage can changes, a second change prompt is sent out;
the hand movement subunit acquires a first change prompt, analyzes image frames containing hands before and after the change in the acquired video stream of the peripheral area of the garbage can, and acquires the throwing direction of hand movement through a throwing direction identification algorithm;
and the garbage classification subunit acquires a garbage classification result through an image classification algorithm by analyzing image frames before and after the change in the video stream of the area in the garbage can after acquiring the second change prompt.
3. The system for collecting garbage placement according to claim 2, wherein after the second variation prompt is obtained, the result of garbage classification is obtained by analyzing image frames before and after variation in the video stream of the area in the garbage can and by an image classification algorithm, comprising the steps of:
acquiring at least one frame of picture before the occurrence of the change and at least one frame of picture after the occurrence of the change;
comparing the change conditions of the areas in the garbage cans in the corresponding two frames of pictures through a twin network to generate masks of the change areas;
and cutting out the image of the input garbage according to the mask position, and identifying the classification result of the input garbage by utilizing a target detection algorithm.
4. A garbage disposal action collection system according to claim 2, wherein the disposal finding unit comprises a multi-person matching sub-unit and an identification quality improvement sub-unit; the multi-person matching subunit is used for determining a target throwing person from target image frames containing a plurality of faces, wherein the target image frames are obtained from video streams of a throwing shop window area transmitted by the face acquisition camera; the recognition quality improving subunit adjusts parameters and installation angles of the face acquisition cameras according to environmental parameters of the environment collecting assembly, detects faces in video streams transmitted by the face acquisition cameras, obtains optimal face information, and determines target delivery people.
5. The garbage collection system according to claim 4, wherein the multi-person matching sub-unit is configured to determine a target person from a target image frame including a plurality of faces, and comprises the steps of:
when the first change prompt or the second change prompt is acquired, acquiring a multi-frame face image containing a plurality of faces in a corresponding cache video stream acquired by a face acquisition camera;
acquiring face sizes and face positions of a plurality of faces in each frame of face image, wherein the face positions refer to coordinates of the faces in a show window area;
scoring the face sizes and the face positions of a plurality of faces in each frame of face image according to preset evaluation criteria to respectively obtain face size scores and face position scores;
determining a preset throwing direction according to the face position; comparing a preset throwing direction with the throwing direction of the hand motion obtained by the hand motion subunit, and grading according to a preset rule to obtain a throwing direction score;
and carrying out weighted summation on the face size score, the face position score and the throwing direction score to obtain the corresponding face grade score, and selecting the face with the maximum face grade score as a target throwing person.
6. A garbage collection system according to claim 1, wherein the environmental collection assembly comprises an ambient light sensor disposed within the garbage room for obtaining ambient brightness within the garbage room; the supporting mechanism adjusts the height of the bottom of the dustbin according to the ambient brightness.
7. The garbage can collection system according to claim 6, wherein the garbage can comprises a can body with an upper opening and a lower opening and a bottom can, the supporting mechanism comprises a lifting bottom plate and a driving mechanism for driving the lifting bottom plate to move up and down, the driving mechanism is arranged in the bottom can, and the driving mechanism drives the lifting bottom plate to move up and down in the can body according to the ambient brightness obtained by the ambient light sensor.
8. The garbage throwing behavior collecting system according to claim 7, wherein the driving mechanism comprises a horizontally arranged adjusting rack, a driving gear meshed with the adjusting rack, an adjusting sleeve body connected to the bottom of the bottom barrel through a bearing, a lifting column body connected with the lifting bottom plate and a driving motor; the lifting column body is in threaded connection with the adjusting sleeve body; the main shaft of the driving motor is connected with the driving gear, and the adjusting sleeve body is meshed with the adjusting rack through the driven gear.
9. The garbage collection system according to claim 8, wherein a weight sensor is arranged on the lifting base plate; a plurality of nozzles are distributed on the lifting bottom plate, a spray pipe body is distributed in the lifting cylinder, and the spray pipe body is connected with the nozzles.
10. The garbage collection system according to claim 9, wherein a brush is disposed on an end surface of the lifting base plate abutting against an inner wall of the barrel body, and at least one fan is disposed in the bottom barrel.
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Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110143386A (en) * | 2019-06-27 | 2019-08-20 | 南通理工学院 | A kind of dustbin that automatic sensing is uncapped |
| CN110294236A (en) * | 2019-08-08 | 2019-10-01 | 任杰 | A kind of garbage classification monitoring apparatus, method and server system |
| CN110615209A (en) * | 2019-08-19 | 2019-12-27 | 厦门快商通科技股份有限公司 | Garbage classification recycling device and garbage classification recycling monitoring system |
| CN112116039A (en) * | 2020-08-01 | 2020-12-22 | 富盛科技股份有限公司 | Intelligent monitoring garbage classification system and method |
| CN113650987A (en) * | 2021-09-13 | 2021-11-16 | 南京邮电大学 | Intelligent garbage can and intelligent classification method thereof |
| CN114548767A (en) * | 2022-02-23 | 2022-05-27 | 浙江七巧连云生物传感技术股份有限公司 | Intelligent monitoring, identifying and managing system for classified putting of garbage based on Internet of things |
| CN114715562A (en) * | 2022-03-21 | 2022-07-08 | 盛视科技股份有限公司 | Recognition method for kitchen garbage illegal putting behavior |
| CN114834792A (en) * | 2022-05-18 | 2022-08-02 | 李朝忠 | Intelligent environment-friendly household garbage can with fireproof effect |
| CN114873099A (en) * | 2022-05-24 | 2022-08-09 | 城森(山东)智能科技有限责任公司 | Novel comprehensive management system and method for garbage classification operation |
-
2022
- 2022-12-20 CN CN202211636623.9A patent/CN115783550B/en active Active
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110143386A (en) * | 2019-06-27 | 2019-08-20 | 南通理工学院 | A kind of dustbin that automatic sensing is uncapped |
| CN110294236A (en) * | 2019-08-08 | 2019-10-01 | 任杰 | A kind of garbage classification monitoring apparatus, method and server system |
| WO2021022898A1 (en) * | 2019-08-08 | 2021-02-11 | 任杰 | Garbage classification monitoring device and method, and server system |
| CN110615209A (en) * | 2019-08-19 | 2019-12-27 | 厦门快商通科技股份有限公司 | Garbage classification recycling device and garbage classification recycling monitoring system |
| CN112116039A (en) * | 2020-08-01 | 2020-12-22 | 富盛科技股份有限公司 | Intelligent monitoring garbage classification system and method |
| CN113650987A (en) * | 2021-09-13 | 2021-11-16 | 南京邮电大学 | Intelligent garbage can and intelligent classification method thereof |
| CN114548767A (en) * | 2022-02-23 | 2022-05-27 | 浙江七巧连云生物传感技术股份有限公司 | Intelligent monitoring, identifying and managing system for classified putting of garbage based on Internet of things |
| CN114715562A (en) * | 2022-03-21 | 2022-07-08 | 盛视科技股份有限公司 | Recognition method for kitchen garbage illegal putting behavior |
| CN114834792A (en) * | 2022-05-18 | 2022-08-02 | 李朝忠 | Intelligent environment-friendly household garbage can with fireproof effect |
| CN114873099A (en) * | 2022-05-24 | 2022-08-09 | 城森(山东)智能科技有限责任公司 | Novel comprehensive management system and method for garbage classification operation |
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