CN112978146A - Intelligent throw-away garbage detection method based on video analysis - Google Patents
Intelligent throw-away garbage detection method based on video analysis Download PDFInfo
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- CN112978146A CN112978146A CN202110191037.7A CN202110191037A CN112978146A CN 112978146 A CN112978146 A CN 112978146A CN 202110191037 A CN202110191037 A CN 202110191037A CN 112978146 A CN112978146 A CN 112978146A
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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
- B65F1/14—Other constructional features; Accessories
- B65F1/1484—Other constructional features; Accessories relating to the adaptation of receptacles to carry identification means
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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
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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
- B65F2210/00—Equipment of refuse receptacles
- B65F2210/138—Identification means
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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
- B65F2210/00—Equipment of refuse receptacles
- B65F2210/152—Material detecting means
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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
- B65F2210/00—Equipment of refuse receptacles
- B65F2210/165—Remote controls
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Abstract
The invention discloses a video analysis-based intelligent detection method for litter trash, which comprises the following steps: when a garbage thrower discards garbage, the position of the garbage thrower is positioned by utilizing the common detection of an infrared detection sensor and a radar detector, a camera sends an acquired garbage image to a server through a signal sending module, garbage characteristics are analyzed through a characteristic analysis module, and the garbage thrower is told to throw the garbage through a voice interaction module, so that garbage classification treatment is realized; when rubbish is not thrown to the garbage bin by the rubbish throwing person, the alarm module starts to prompt the rubbish throwing person to throw rubbish according to the regulations, the camera conducts camera shooting collection on the behavior of the rubbish throwing person, the face and body characteristic database in the data storage module is compared by the characteristic analysis module, identity information of the rubbish throwing person is obtained, and when the same rubbish throwing person does not throw rubbish according to the regulations for many times, the server reports the information of the rubbish throwing person to a background manager.
Description
Technical Field
The invention relates to the field of environmental protection and the field of garbage putting detection, in particular to a disposable garbage intelligent detection method based on video analysis.
Background
Along with the development of economy and the improvement of the living standard of people, the garbage problem is increasingly prominent. The garbage can not be buried and burned, which causes a series of serious harm. According to the investigation of the waste problem expert Wangweiping, the waste recycling potential is continuously increased along with the development of living standard and economy. In the garbage components, metal, paper, plastic and glass are regarded as resources which can be directly recycled, the resources account for 42.9 percent of the total amount of the garbage, and the direct recycling rate is not lower than 33 percent. In addition, other substances in the garbage can be converted into resources, such as food, vegetation and fabrics which can be composted to produce organic fertilizers; the waste incineration can generate electricity, supply heat or refrigerate; the brick, tile and lime soil can be processed into building materials and the like. Therefore, the garbage mountain can be changed into the Jinshan mountain. Various solid wastes are mixed together to form garbage, and separated to form resources. If the potential of resources contained in the domestic garbage can be fully excavated and recovered. How to reasonably utilize the garbage can not separate the classification treatment of the garbage. The garbage classification treatment is a method for respectively carrying out different treatments on the garbage according to the recoverable and non-recoverable waste, changing the garbage into valuable and fully utilizing resources.
In daily life, human beings generate a large amount of garbage every day, and the environment pollution is caused by the fact that the garbage is not classified, recycled and discarded at will. Everyone can throw away a lot of rubbish every day, and in some areas that refuse management is better, most rubbish can get innoxious processing such as sanitary landfill, burning, compost, and more rubbish is then often simply piled up or buried, causes foul smell abusing to and pollute soil and groundwater. People consume a large amount of resources, produce the garbage in a large scale, consume the garbage in a large amount, and produce the garbage in a large amount.
In the prior art, a plurality of garbage cans are simple in function, no facility capable of supervising garbage throwing of garbage throwers exists nearby, and at present, the awareness of a plurality of people on garbage throwing and garbage classification is not high, so that reasonable garbage throwing and classification cannot be well implemented, and a lot of troubles are brought to cleaning staff. On the other hand, due to the lack of knowledge in garbage classification, many garbage are not classified clearly, which is also a difficult problem in garbage classification.
Disclosure of Invention
The invention overcomes the defects of the prior art and provides a video analysis-based intelligent detection method for disposable garbage.
In order to achieve the purpose, the invention adopts the technical scheme that: a video analysis-based intelligent detection method for litter trash comprises the following steps:
step S1: when rubbish is discarded by a rubbish throwing person, the position of the rubbish throwing person is positioned by utilizing the infrared detection sensor and the radar detector to jointly detect, and meanwhile, the AI intelligent camera starts to collect rubbish images.
Step S2: the AI intelligent camera sends the collected garbage image to the server through the signal sending module, analyzes the garbage characteristics through the characteristic analysis module, identifies the garbage type, tells a garbage dispenser to dispense the garbage through the voice interaction module, and realizes garbage classification processing.
Step S3: when rubbish is not thrown to the garbage bin by the rubbish throwing person, the alarm module starts to prompt the rubbish throwing person to throw rubbish according to the regulations, the AI intelligent camera conducts camera shooting collection on the behavior of the rubbish throwing person, collected data are transmitted to the server side, the face and body characteristic database in the data storage module is compared by the characteristic analysis module, specific identity information of the rubbish throwing person is obtained, and when the same rubbish throwing person does not throw rubbish according to the regulations for many times, the server side reports the information of the rubbish throwing person to a background manager.
In a preferred embodiment of the present invention, in step S3, when the trash dispenser does not dispense the trash into the trash can, the AI smart camera starts to capture the facial and body feature information.
In a preferred embodiment of the present invention, the voice interaction module in step S2 is used for spam classification consultation, and the spammer inquires about specific spamming positions of various kinds of spam through the voice interaction module.
In a preferred embodiment of the present invention, the voice interaction module in step S2 can broadcast the knowledge of garbage classification at regular time, so as to improve the awareness of the citizen in garbage classification.
In a preferred embodiment of the present invention, the data storage module in step S3 stores face and body feature information of community people.
In a preferred embodiment of the invention, when the trash thrower discards the trash to the wrong position, the AI intelligent camera arranged below the trash can cover identifies the type of the trash and prompts the trash thrower through the voice interaction module.
In a preferred embodiment of the present invention, the detecting apparatus comprises: hardware system and software system based on said hardware system set up, characterized by that, the said hardware system includes: set up near the garbage bin and set up a plurality of AI intelligent camera in garbage bin bung below, be provided with infrared detection sensor and radar detection ware in the AI intelligent camera, AI intelligent camera is used for gathering abandons rubbish characteristic and rubbish person's health characteristic information of abandoning.
The software system includes: the server side and the detection end, the server side includes: the device comprises a data storage module, a characteristic analysis module and a signal receiving module; the data storage module includes: the data cloud storage submodule and the data compression submodule.
The detection end comprises: image acquisition module, signaling module, voice interaction module and alarm module, image acquisition module includes: a visual detection sub-module and a data conversion sub-module.
In a preferred embodiment of the present invention, the data compression sub-module is configured to compress information acquired by the image acquisition module, so as to facilitate the data storage module to store data.
In a preferred embodiment of the present invention, the data conversion module is configured to convert the data information acquired by the image acquisition module, and the signal transmission module transmits the converted data to the server.
In a preferred embodiment of the present invention, the signal sending module is further provided with a data encryption sub-module, and the data encryption sub-module is configured to encrypt the sent data information.
The invention solves the defects in the background technology, and has the following beneficial effects:
(1) according to the garbage collection system, the AI intelligent camera is used for rapidly acquiring the garbage characteristic information, and the garbage is classified through the characteristic analysis module, so that people are reminded of correctly putting the garbage, and sanitation workers can conveniently perform directional garbage treatment. The voice interaction module is used for reminding a garbage thrower of correctly throwing garbage, so that the execution rate of garbage classification of people is further improved. Meanwhile, the information of people who often throw garbage according to the regulations is reported to background management personnel, measures are taken against the problem, and the garbage throwing concept of people is further improved.
(2) According to the invention, a garbage dispenser is positioned through two elements, namely an infrared detection sensor and a radar detector, so that the garbage dispenser and the garbage dispensing position can be accurately obtained, the garbage dispenser is tracked in real time through an AI intelligent camera, whether the garbage dispenser dispenses garbage illegally is rapidly identified, the data cloud storage submodule is used for establishing template data of an article, the type of the garbage is rapidly identified by comparing the dispensed garbage with the template data, a voice interaction module is used for reminding people of the specific dispensing position of the garbage, the garbage is accurately classified, and the garbage is better utilized and treated according to the type.
(3) According to the invention, the voice interaction module can broadcast the garbage classification knowledge at regular time, popularizes the garbage classification knowledge and further improves the citizen garbage classification consciousness, and on the other hand, the voice interaction module can provide classification consultation for people who are not clear about how to throw garbage, so that the garbage throwing is further ensured to be more accurate.
(4) The behavior information of the garbage thrower is rapidly recorded by the visual detection submodule and is compared with the behavior information in the data storage module, when behaviors such as damage to a garbage can occur, the behavior information is captured and recorded in time, a background person waits for further processing, an alarm is sent out at the same time, and the strength of public property protection measures is effectively improved.
(5) According to the invention, the data compression sub-module is used for compressing the information acquired by the image acquisition module, so that the data storage module can store data more quickly, and the storage capacity of the data storage module can be further increased.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments described in the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a distribution block diagram of functional modules of each unit in the present invention.
Detailed Description
In order that the above objects, features and advantages of the present invention can be more clearly understood, a more particular description of the invention will be rendered by reference to the appended drawings. It should be noted that the embodiments and features of the embodiments of the present application may be combined with each other without conflict.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, however, the present invention may be practiced in other ways than those specifically described herein, and therefore the scope of the present invention is not limited by the specific embodiments disclosed below.
As shown in fig. 1, an intelligent detection method for litter trash based on video analysis includes the following steps:
step S1: when rubbish is discarded by a rubbish throwing person, the position of the rubbish throwing person is positioned by utilizing the infrared detection sensor and the radar detector to jointly detect, and meanwhile, the AI intelligent camera starts to collect rubbish images.
Step S2: the AI intelligent camera sends the collected garbage image to the server through the signal sending module, analyzes the garbage characteristics through the characteristic analysis module, identifies the garbage type, tells a garbage dispenser to dispense the garbage through the voice interaction module, and realizes garbage classification processing.
Step S3: when rubbish is not thrown to the garbage bin by the rubbish throwing person, the alarm module starts to prompt the rubbish throwing person to throw rubbish according to the regulations, the AI intelligent camera conducts camera shooting collection on the behavior of the rubbish throwing person, collected data are transmitted to the server side, the face and body characteristic database in the data storage module is compared by the characteristic analysis module, specific identity information of the rubbish throwing person is obtained, and when the same rubbish throwing person does not throw rubbish according to the regulations for many times, the server side reports the information of the rubbish throwing person to a background manager. Correspondingly, the data storage module stores face and body characteristic information of community personnel.
In a preferred embodiment of the invention, when a trash dispenser does not dispense trash into a specified trash can and the trash dispenser discards the trash to an incorrect position, an AI intelligent camera arranged below the trash can cover recognizes the type of the trash and prompts the trash dispenser through a voice interaction module, the AI intelligent camera starts to be started to collect face and body characteristic information, and an alarm module is started to perform voice prompt.
In a preferred embodiment of the present invention, the detecting apparatus comprises: hardware system and software system based on said hardware system set up, characterized by that, the said hardware system includes: set up near the garbage bin and set up a plurality of AI intelligent camera in garbage bin bung below, be provided with infrared detection sensor and radar detection ware in the AI intelligent camera, AI intelligent camera is used for gathering abandons rubbish characteristic and rubbish person's health characteristic information of abandoning. The AI intelligent camera is used for rapidly acquiring the garbage characteristic information, and the garbage is classified through the characteristic analysis module, so that people are reminded of correctly putting garbage, and the garbage can be conveniently and directionally treated by sanitary cleaning workers. The voice interaction module is used for reminding a garbage thrower of correctly throwing garbage, so that the execution rate of garbage classification of people is further improved. Meanwhile, the information of people who often throw garbage according to the regulations is reported to background management personnel, measures are taken against the problem, and the garbage throwing concept of people is further improved.
In a preferred embodiment of the present invention, the software system comprises: the server side and the detection end, the server side includes: the device comprises a data storage module, a characteristic analysis module and a signal receiving module; the data storage module includes: the data cloud storage submodule and the data compression submodule; the detection end comprises: image acquisition module, signaling module, voice interaction module and alarm module, image acquisition module includes: the data conversion module is used for converting the data information acquired by the image acquisition module, and the converted data is sent to the server side through the signal sending module.
In a preferred embodiment of the invention, the behavior information of the garbage thrower is rapidly recorded by the visual detection submodule and is compared with the behavior information in the data storage module, when behaviors such as damage to a garbage can occur, the behavior information is captured and recorded in time, a background person waits for further processing, and an alarm is given out at the same time, so that the strength of public protection measures is effectively improved.
In a preferred embodiment of the invention, a garbage thrower is positioned through an infrared detection sensor and a radar detector, so that the garbage thrower and a garbage throwing position can be accurately obtained, the garbage thrower is tracked in real time through an AI intelligent camera, whether the garbage thrower throws garbage illegally is rapidly identified, a data cloud storage submodule is used for establishing template data of an article, the thrown garbage and the template data are compared, the garbage type is rapidly identified, a voice interaction module is used for reminding people of the specific throwing position of the garbage, the garbage is accurately classified, and the garbage is better utilized and processed according to the type.
In a preferred embodiment of the invention, the voice interaction module can broadcast the garbage classification knowledge at regular time, popularize the garbage classification knowledge and further improve the consciousness of the citizen in garbage classification.
In a preferred embodiment of the present invention, the data compression sub-module compresses the information collected by the image collection module, so that the data storage module can store data more quickly, and the storage capacity of the data storage module can be further increased to facilitate the data storage module to store data. On the other hand, the signal sending module is also provided with a data encryption sub-module, data information is encrypted through the data encryption sub-module, the situation that an inexperienced person maliciously intercepts data or tampers the data is prevented, and meanwhile the function of protecting personal privacy is achieved.
When the intelligent garbage image acquisition system is used, when a garbage thrower discards garbage, the infrared detection sensor and the radar detector are used for jointly detecting and starting to position the garbage thrower, and meanwhile, the AI intelligent camera starts to acquire garbage images; the AI intelligent camera sends the collected garbage image to the server through the signal sending module, the garbage characteristics are analyzed through the characteristic analysis module to identify the garbage type, and a garbage throwing person is told to a throwing position through the voice interaction module to realize garbage classification treatment; when rubbish is not thrown to the garbage bin by the rubbish throwing person, the alarm module starts to prompt the rubbish throwing person to throw rubbish according to the regulations, the AI intelligent camera conducts camera shooting collection on the behavior of the rubbish throwing person, collected data are transmitted to the server side, the face and body characteristic database in the data storage module is compared by the characteristic analysis module, specific identity information of the rubbish throwing person is obtained, and when the same rubbish throwing person does not throw rubbish according to the regulations for many times, the server side reports the information of the rubbish throwing person to a background manager.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.
Furthermore, it should be understood that although the present description refers to embodiments, not every embodiment may contain only a single embodiment, and such description is for clarity only, and those skilled in the art should integrate the description, and the embodiments may be combined as appropriate to form other embodiments understood by those skilled in the art.
Claims (10)
1. A video analysis-based intelligent detection method for litter trash is characterized by comprising the following steps:
step S1: when a garbage thrower discards garbage, the position of the garbage thrower is positioned by utilizing the common detection of an infrared detection sensor and a radar detector, and meanwhile, an AI intelligent camera starts to collect garbage images;
step S2: the AI intelligent camera sends the collected garbage image to the server through the signal sending module, the garbage characteristics are analyzed through the characteristic analysis module to identify the garbage type, and a garbage throwing person is told to a throwing position through the voice interaction module to realize garbage classification treatment;
step S3: when rubbish is not thrown to the garbage bin by the rubbish throwing person, the alarm module starts to prompt the rubbish throwing person to throw rubbish according to the regulations, the AI intelligent camera conducts camera shooting collection on the behavior of the rubbish throwing person, collected data are transmitted to the server side, the face and body characteristic database in the data storage module is compared by the characteristic analysis module, specific identity information of the rubbish throwing person is obtained, and when the same rubbish throwing person does not throw rubbish according to the regulations for many times, the server side reports the information of the rubbish throwing person to a background manager.
2. The intelligent detection method for disposable garbage based on video analysis as claimed in claim 1, wherein: in step S3, when the trash dispenser does not dispense the trash into the predetermined trash can, the AI smart camera starts to capture the facial and body feature information.
3. The intelligent detection method for disposable garbage based on video analysis as claimed in claim 1, wherein: the voice interaction module in the step S2 is used for the query of garbage classification, and the garbage thrower inquires about the specific throwing position of various garbage through the voice interaction module.
4. The intelligent detection method for disposable garbage based on video analysis as claimed in claim 1, wherein: the voice interaction module in the step S2 can broadcast the garbage classification knowledge at regular time, and improves the consciousness of the citizen garbage classification.
5. The intelligent detection method for disposable garbage based on video analysis as claimed in claim 1, wherein: in the step S3, facial and body feature information of community people is stored in the data storage module.
6. The intelligent detection method for disposable garbage based on video analysis as claimed in claim 1, wherein: when rubbish is abandoned to the wrong position by a rubbish throwing person, an AI intelligent camera arranged below the rubbish barrel cover identifies the rubbish type and prompts the rubbish throwing person through a voice interaction module.
7. A detection apparatus of the intelligent litter trash detection method based on video analysis according to claim 1, comprising: hardware system and software system based on said hardware system set up, characterized by that, the said hardware system includes: the intelligent garbage can comprises a garbage can cover, a plurality of AI intelligent cameras arranged near the garbage can and below the garbage can cover, infrared detection sensors and radar detectors are arranged in the AI intelligent cameras, and the AI intelligent cameras are used for collecting garbage discarding characteristics and garbage discarding person body characteristic information;
the software system includes: the server side and the detection end, the server side includes: the device comprises a data storage module, a characteristic analysis module and a signal receiving module; the data storage module includes: the data cloud storage submodule and the data compression submodule;
the detection end comprises: image acquisition module, signaling module, voice interaction module and alarm module, image acquisition module includes: a visual detection sub-module and a data conversion sub-module.
8. The detection device of the intelligent detection method for disposable garbage based on video analysis according to claim 7, wherein: the data compression submodule is used for compressing information acquired by the image acquisition module, and the data storage module is convenient for storing data.
9. The detection device of the intelligent detection method for disposable garbage based on video analysis according to claim 7, wherein: the data conversion module is used for converting the data information acquired by the image acquisition module, and the converted data is sent to the server side through the signal sending module.
10. The detection device of the intelligent detection method for disposable garbage based on video analysis according to claim 7, wherein: the signal sending module is also provided with a data encryption submodule, and the data encryption submodule is used for encrypting the sent data information.
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Application publication date: 20210618 |