CN112597804B - Voice prompt and video image supervision method for garbage classification delivery site - Google Patents
Voice prompt and video image supervision method for garbage classification delivery site Download PDFInfo
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/20—Movements or behaviour, e.g. gesture recognition
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/20—Image preprocessing
- G06V10/25—Determination of region of interest [ROI] or a volume of interest [VOI]
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/40—Scenes; Scene-specific elements in video content
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B7/00—Signalling systems according to more than one of groups G08B3/00 - G08B6/00; Personal calling systems according to more than one of groups G08B3/00 - G08B6/00
- G08B7/06—Signalling systems according to more than one of groups G08B3/00 - G08B6/00; Personal calling systems according to more than one of groups G08B3/00 - G08B6/00 using electric transmission, e.g. involving audible and visible signalling through the use of sound and light sources
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
Abstract
The invention discloses a method for voice prompt and video image supervision of a refuse classification delivery site, which consists of a high-definition network camera, a cloud platform and a mobile APP, monitors personnel entering a refuse delivery site, reminds the delivery person of refuse classification within the refuse delivery range of the personnel, avoids the personnel from throwing refuse by mistake, reminds the delivery person quickly when the personnel do not put the refuse into a refuse box, warns the delivery person to carry out correct and effective delivery, can carry out data statistics on the refuse classification of a refuse delivery position to obtain the local main refuse classification, can increase the refuse containers of the main refuse classification when the next refuse box is placed, reduces the refuse containers of non-main refuse classification, and further improves the refuse classification efficiency, thereby reducing the refuse treatment cost The classification effect of the garbage classification delivery site is improved, and the like.
Description
Technical Field
The invention relates to the technical field of garbage classification systems, in particular to a voice prompt and video image supervision method for a garbage classification delivery site.
Background
Human beings all produce along with a large amount of rubbish in production, consumption resource and consumption process, and the innocent treatment such as sanitary landfill, burning, compost is mostly adopted to current rubbish, and the expense of rubbish innocent treatment is very high, is unfavorable for social development.
In order to solve the problems, most of the garbage is classified and then subjected to harmless treatment, the method can greatly reduce the cost of the required garbage treatment, but in the actual execution process, the garbage classification is promoted mainly by depending on the conscious of a postm, effective supervision measures are lacked, and then people rarely put the garbage in a classified mode, but various types of garbage are randomly discarded in a garbage recycling device, so that the current garbage classification recycling effect is poor, and the effect of reducing the garbage treatment cost is little, therefore, in order to improve the classification effect of the garbage classification delivery site, the method with voice prompt and video image supervision is in need.
Disclosure of Invention
The invention aims to provide a method for monitoring voice prompt and video images of a garbage classification delivery site.
In order to achieve the purpose, the invention provides the following technical scheme: the utility model provides a method of on-spot voice prompt of rubbish classification delivery and video image supervision, comprises high definition network camera module, cloud platform module and removal APP module, high definition network camera module and cloud platform module one-way connection, cloud platform module and removal APP module both way junction, remove APP module and high definition network camera module one-way connection.
The high definition network camera module includes: the intelligent garbage bin detection system comprises a data acquisition module, an intelligent analysis module, a voice reminding module and a picture snapshot module, wherein the data acquisition module is connected with the intelligent analysis module in a one-way mode, the intelligent analysis module is connected with the picture snapshot module in a one-way mode, the data acquisition module comprises video acquisition and image capturing, the video acquisition is used for acquiring video information at the position of a garbage bin and at a detection area in real time, the image capturing is used for capturing personnel in the detection area, the intelligent analysis module is used for analyzing and processing data transmitted by the data acquisition module and transmitting the processing result data to the voice reminding module and the picture snapshot module, the voice reminding module is used for carrying out voice broadcasting according to the data transmitted by the intelligent analysis module, the picture snapshot module is used for snapshotting the personnel in the detection area according to the data transmitted by the intelligent analysis module, and transmitting the snapshot data to the cloud platform module.
The cloud platform module comprises a cloud storage management module, the cloud storage management module is used for storing data transmitted by the picture snapshot module, receiving a control signal transmitted by the mobile APP module and transmitting the data to the mobile APP module.
The mobile APP module comprises an APP remote supervision module, the APP remote supervision module is used for transmitting control signals to the high-definition network camera module and the cloud platform module, and meanwhile data are acquired from the cloud platform module.
The method for voice prompt and video image supervision of the garbage classification delivery site comprises the following specific working steps:
(1) the data acquisition module monitors the dustbin and the detection position at the front end of the dustbin through video acquisition;
(2) when video acquisition detects that a person enters a detection position at the front end of the dustbin, the data acquisition module captures the person through image capture and transmits the captured data to the intelligent analysis module;
(3) the intelligent analysis module carries out integration analysis on the monitoring data and the capture data transmitted by the data acquisition module, intelligently judges the garbage throwing type of a person, calculates the distance data between the person and the garbage can, integrates the garbage throwing type data and the distance data between the person and the garbage can, transmits a control signal to the voice reminding module and the picture snapshot module according to the integrated data, and simultaneously transmits the data of the data acquisition module to the picture snapshot module;
(4) the voice reminding module carries out voice broadcasting according to the data transmitted by the intelligent analysis module, the picture snapshot module carries out snapshot according to the data transmitted by the intelligent analysis module, and the snapshot data and the data are transmitted to the cloud platform module;
(5) the cloud platform module stores the transmitted data;
(6) the mobile APP module accesses the cloud platform module through the wireless data and reads the data stored in the cloud platform module, and meanwhile, the mobile APP module can modify the data of the cloud platform module;
(7) the administrator can modify the detection area of the data acquisition module through the mobile APP module and the play setting of the voice reminding module.
Further, the data acquisition module specifically comprises the following working steps:
(1) acquiring video information at the position of the garbage can and the detection area in real time;
(2) when people appear around the garbage can, the data acquisition module carries out image capture on the garbage can immediately;
(3) and transmitting the video data and the image capturing data to an intelligent analysis module.
Further, the intelligent analysis module specifically comprises the following working steps:
(1) scanning the garbage can and marking the garbage can in sequence;
I) label the first trash can as L1;
II) label the second trash can as L2;
III) marking the nth garbage can as Ln, wherein n is 1- ∞;
(2) carrying out category identification on the marked garbage can;
I) label the L1 trash can as a1;
II) label L2 trash can as a 2;
III) marking the Ln garbage can as an, and taking n as 1- ∞;
IV) the a1, the a2 and an respectively correspond to different garbage categories;
(3) meanwhile, performing category identification on the front-end detection area of the garbage can after the category identification according to the category of the corresponding garbage can;
I) recording a detection area in front of the L1 garbage bin as a detection area a1;
II) recording a detection area in front of the L2 garbage can as a detection area a 2;
III) marking a detection area in front of the Ln garbage can as an detection area;
(4) tagging a person in the image capture data;
I) the first person is labeled a1;
II) the second person is labeled A2;
III) marking the x-th personnel as Ax, wherein x is 1- ∞;
(5) when people in the image capturing data reach the detection area, identifying the personnel garbage category of the people;
I) when Ax enters the a1 detection region, it is marked Axa1;
II) when Ax enters the a2 detection region, it is recorded as Axa 2;
III) when Ax enters an detection area, marking as Axan;
(6) transmitting the data Axan to a voice reminding module;
(7) integrating personnel garbage category identifications into data sets of Za1, Za2 and Zan according to categories of a1 detection area, a2 detection area and an detection area;
(8) and the personnel in the Za1, Za2, and Zan data sets are separately sorted;
I) the first data on Axan is noted as Zan 1;
II) the second data on Axan is noted as Zan 2;
III) recording the y-th data on the Axan as Zany, wherein y is 1- ∞;
(13) when the personnel in the image capturing data reach the detection area and are not correctly delivered, marking the incorrectly delivered personnel, and transmitting the incorrectly delivered data to the voice reminding module and the picture capturing module;
I) when the first incorrectly-thrown person appears in the an detection area, the result is marked as an 1;
II) when a second incorrectly-thrown person appears in an detection area, recording as an 2;
III) when the h-th incorrectly-thrown person appears in an detection area, recording as anh, and taking h as 1- ∞;
(14) extracting the y value in Zany and the h value in anh;
(15) the correctly dosed values in data Zan are obtained and are denoted as Han, which is expressed by the formula: han ═ y-h;
(16) and transmitting the Han data and the video data acquired by the data acquisition module to a picture snapshot module.
Further, the voice reminding module specifically comprises the following working steps:
1) receiving data Axan, incorrectly-delivered data and data transmitted by the mobile APP module;
2) when the voice reminding module receives Axan, an data is immediately extracted, and a garbage category corresponding to the an data is immediately broadcasted;
3) when the voice reminding module receives incorrect putting data, immediately carrying out warning broadcasting;
4) when the voice prompt module receives the data transmitted by the mobile APP module, muting or repeatedly broadcasting is carried out according to the data transmitted by the mobile APP module.
Further, the image capturing module specifically comprises the following steps:
1) receiving incorrect delivery data, Han data and video data collected by a data collection module;
2) when incorrect putting data is received, the snapshot device of the picture snapshot module is started immediately to snapshot the incorrectly put personnel;
3) and transmitting the snapshot data, the Han data and the video data acquired by the data acquisition module to the cloud storage management module.
Further, the cloud storage management module specifically comprises the following steps:
1) receiving data snapshot data, Han data and video data collected by a data collection module;
2) the snapshot data, the Han data and the video data collected by the data collection module are stored;
3) data Han is arranged, how much rubbish in each garbage bin is obtained, and then the main rubbish classification in this region of mobile APP module is reminded, and remind when the garbage bin is full soon.
Further, the specific steps of the mobile APP module are as follows:
1) capturing snapshot data in the cloud storage management module and video data acquired by the data acquisition module;
2) the snapshot data in the cloud storage management module and the video data collected by the data collection module are stored and deleted;
3) self-defining a garbage throwing detection area in a high-definition network camera through a mobile APP module, defining the detection area, and simultaneously controlling the high-definition network camera to identify and automatically create the detection area to which the garbage can belongs according to the color of the garbage classification box and characters and figures on the garbage can;
4) carry out suggestion voice setting, language setting, voice broadcast operating time section and the time section of not broadcasting pronunciation to the voice prompt module through removing the APP module.
Furthermore, the method for voice prompt and video image supervision of the garbage classification delivery site comprises the functions of video monitoring, video playback, picture playback, equipment management, event management, remote configuration and the like.
Compared with the prior art, the invention has the beneficial effects that: the invention is composed of a high-definition network camera, a cloud platform and a mobile APP, the basic functions comprise functions of video acquisition, image capture, intelligent analysis, language playing, picture snapshot, cloud storage and management, APP remote supervision and the like, the invention acquires data by video acquisition and image capture, a garbage can is continuously labeled and subjected to class marking, a detection area is automatically or manually divided by personnel, when the personnel enter the detection area, the system is automatically activated, the personnel entering a garbage delivery position are monitored, and garbage class reminding is performed on delivery persons when the personnel carry out garbage delivery range, so that the personnel are prevented from mistakenly throwing garbage, when the personnel do not put the garbage into a garbage can, the delivery persons are quickly reminded, and the delivery persons are warned to correctly and effectively deliver the garbage, the invention can perform data statistics on the garbage classes at the garbage delivery position, therefore, the method and the device have the advantages of improving the garbage classification efficiency, remotely monitoring, improving the classification effect of the garbage classification delivery site and the like.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a block diagram of the system of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, the present invention provides a technical solution: a method for voice prompt and video image supervision of a garbage classification delivery site comprises a high-definition network camera module, a cloud platform module and a mobile APP module, wherein the high-definition network camera module is connected with the cloud platform module in a one-way mode, the cloud platform module is connected with the mobile APP module in a two-way mode, and the mobile APP module is connected with the high-definition network camera module in a one-way mode.
The high definition network camera module includes: the intelligent garbage bin detection system comprises a data acquisition module, an intelligent analysis module, a voice reminding module and a picture snapshot module, wherein the data acquisition module is connected with the intelligent analysis module in a one-way mode, the intelligent analysis module is connected with the picture snapshot module in a one-way mode, the data acquisition module comprises video acquisition and image capturing, the video acquisition is used for acquiring video information at the position of a garbage bin and at a detection area in real time, the image capturing is used for capturing personnel in the detection area, the intelligent analysis module is used for analyzing and processing data transmitted by the data acquisition module and transmitting the processed result data to the voice reminding module and the picture snapshot module, the voice reminding module is used for carrying out voice broadcasting according to the data transmitted by the intelligent analysis module, the picture snapshot module is used for carrying out snapshot on the personnel in the detection area according to the data transmitted by the intelligent analysis module, and transmitting the snapshot data to the cloud platform module.
The cloud platform module comprises a cloud storage management module, the cloud storage management module is used for storing data transmitted by the picture snapshot module, receiving a control signal transmitted by the mobile APP module and transmitting the data to the mobile APP module.
The mobile APP module comprises an APP remote supervision module, the APP remote supervision module is used for transmitting control signals to the high-definition network camera module and the cloud platform module, and meanwhile data are acquired from the cloud platform module.
A method for voice prompt and video image supervision of a garbage classification delivery site specifically comprises the following working steps:
(1) the data acquisition module monitors the dustbin and the detection position at the front end of the dustbin through video acquisition;
(2) when video acquisition detects that a person enters a detection position at the front end of the dustbin, the data acquisition module captures the person through image capture and transmits the captured data to the intelligent analysis module;
(3) the intelligent analysis module carries out integration analysis on the monitoring data and the capture data transmitted by the data acquisition module, intelligently judges the garbage throwing type of a person, calculates the distance data between the person and the garbage can, integrates the garbage throwing type data and the distance data between the person and the garbage can, transmits a control signal to the voice reminding module and the picture snapshot module according to the integrated data, and simultaneously transmits the data of the data acquisition module to the picture snapshot module;
(4) the voice reminding module carries out voice broadcasting according to the data transmitted by the intelligent analysis module, the picture snapshot module carries out snapshot according to the data transmitted by the intelligent analysis module, and the snapshot data and the data are transmitted to the cloud platform module;
(5) the cloud platform module stores the transmitted data;
(6) the mobile APP module accesses the cloud platform module through the wireless data and reads the data stored in the cloud platform module, and meanwhile, the mobile APP module can modify the data of the cloud platform module;
(7) the administrator can modify the detection area of the data acquisition module through the mobile APP module and the play setting of the voice reminding module.
The data acquisition module specifically comprises the following working steps:
(1) acquiring video information at the position of the garbage can and the detection area in real time;
(2) when people appear around the garbage can, the data acquisition module carries out image capture on the garbage can immediately;
(3) and transmitting the video data and the image capturing data to an intelligent analysis module.
The intelligent analysis module specifically comprises the following working steps:
(1) scanning the garbage can and marking the garbage can in sequence;
I) label the first trash can as L1;
II) label the second trash can as L2;
III) marking the nth garbage can as Ln, wherein n is 1- ∞;
(2) carrying out category identification on the marked garbage can;
I) label the L1 trash can as a1;
II) label L2 trash can as a 2;
III) marking the Ln garbage can as an, and taking n as 1- ∞;
IV) a1, a2 and an correspond to different garbage categories respectively;
(3) meanwhile, performing category identification on the front-end detection area of the garbage can after the category identification according to the category of the corresponding garbage can;
I) recording a detection area in front of the L1 garbage bin as a detection area a1;
II) recording a detection area in front of the L2 garbage can as a detection area a 2;
III) marking a detection area in front of the Ln garbage can as an detection area;
(4) tagging a person in the image capture data;
I) the first person is labeled a1;
II) the second person is labeled A2;
III) marking the x-th personnel as Ax, wherein x is 1- ∞;
(5) when people in the image capturing data reach the detection area, identifying the personnel garbage category of the people;
I) when Ax enters the a1 detection region, it is marked Axa1;
II) when Ax enters the a2 detection region, it is recorded as Axa 2;
III) when Ax enters an detection area, marking as Axan;
(6) transmitting the data Axan to a voice reminding module;
(7) integrating personnel garbage category identifications into data sets of Za1, Za2 and Zan according to categories of a1 detection area, a2 detection area and an detection area;
(8) and the personnel in the Za1, Za2, and Zan data sets are separately sorted;
I) the first data on Axan is noted as Zan 1;
II) the second data on Axan is noted as Zan 2;
III) recording the y-th data on the Axan as Zany, wherein y is 1- ∞;
(9) when the personnel in the image capturing data reach the detection area and are not correctly delivered, marking the incorrectly delivered personnel, and transmitting the incorrectly delivered data to the voice reminding module and the picture capturing module;
I) when the first incorrectly-thrown person appears in the an detection area, the result is marked as an 1;
II) when a second incorrectly-thrown person appears in an detection area, recording as an 2;
III) when the h-th incorrectly-thrown person appears in an detection area, recording as anh, and taking h as 1- ∞;
(10) extracting the y value in Zany and the h value in anh;
(11) the correctly dosed values in data Zan are obtained and are denoted as Han, which is expressed by the formula: han ═ y-h;
(12) and transmitting the Han data and the video data acquired by the data acquisition module to a picture snapshot module.
The voice reminding module specifically comprises the following working steps:
1) receiving data Axan, incorrectly-delivered data and data transmitted by the mobile APP module;
2) when the voice reminding module receives Axan, an data is immediately extracted, and a garbage category corresponding to the an data is immediately broadcasted;
3) when the voice reminding module receives incorrect putting data, immediately carrying out warning broadcasting;
4) when the voice prompt module receives the data transmitted by the mobile APP module, muting or repeatedly broadcasting is carried out according to the data transmitted by the mobile APP module.
The picture snapshot module comprises the following specific steps:
1) receiving incorrect delivery data, Han data and video data collected by a data collection module;
2) when incorrect putting data is received, the snapshot device of the picture snapshot module is started immediately to snapshot the incorrectly put personnel;
3) and transmitting the snapshot data, the Han data and the video data acquired by the data acquisition module to the cloud storage management module.
The cloud storage management module comprises the following specific steps:
1) receiving data snapshot data, Han data and video data collected by a data collection module;
2) the snapshot data, the Han data and the video data collected by the data collection module are stored;
3) data Han is arranged, how much rubbish in each garbage bin is obtained, and then the main rubbish classification in this region of mobile APP module is reminded, and remind when the garbage bin is full soon.
The specific steps of moving the APP module are as follows:
1) capturing snapshot data in the cloud storage management module and video data acquired by the data acquisition module;
2) the snapshot data in the cloud storage management module and the video data collected by the data collection module are stored and deleted;
3) self-defining a garbage throwing detection area in a high-definition network camera through a mobile APP module, defining the detection area, and simultaneously controlling the high-definition network camera to identify and automatically create the detection area to which the garbage can belongs according to the color of the garbage classification box and characters and figures on the garbage can;
4) carry out suggestion voice setting, language setting, voice broadcast operating time section and the time section of not broadcasting pronunciation to the voice prompt module through removing the APP module.
The method for voice prompt and video image supervision of the garbage classification delivery site comprises the functions of video monitoring, video playback, picture playback, equipment management, event management, remote configuration and the like.
In the description herein, references to the description of "one embodiment," "an example," "a specific example" or the like are intended to mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise embodiments disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
Claims (7)
1. A voice prompt and video image supervision method for a garbage classification delivery site is characterized by comprising a high-definition network camera module, a cloud platform module and a mobile APP module, wherein the high-definition network camera module is connected with the cloud platform module in a one-way mode, the cloud platform module is connected with the mobile APP module in a two-way mode, and the mobile APP module is connected with the high-definition network camera module in a one-way mode;
the high definition network camera module includes: the intelligent garbage bin detection system comprises a data acquisition module, an intelligent analysis module, a voice reminding module and a picture snapshot module, wherein the data acquisition module is connected with the intelligent analysis module in a one-way mode, the intelligent analysis module is connected with the picture snapshot module in a one-way mode, the data acquisition module comprises video acquisition and image capturing, the video acquisition is used for acquiring video information at the position of a garbage bin and at a detection area in real time, the image capturing is used for capturing personnel in the detection area, the intelligent analysis module is used for analyzing and processing data transmitted by the data acquisition module and transmitting the processing result data to the voice reminding module and the picture snapshot module, the voice reminding module is used for carrying out voice broadcasting according to the data transmitted by the intelligent analysis module, the picture snapshot module is used for snapshotting the personnel in the detection area according to the data transmitted by the intelligent analysis module, the snapshot data are transmitted to the cloud platform module;
the cloud platform module comprises a cloud storage management module, and the cloud storage management module is used for storing data transmitted by the picture snapshot module, receiving a control signal transmitted by the mobile APP module and transmitting data to the mobile APP module;
the mobile APP module comprises an APP remote supervision module, and the APP remote supervision module is used for transmitting control signals to the high-definition network camera module and the cloud platform module and acquiring data from the cloud platform module;
the method for voice prompt and video image supervision of the garbage classification delivery site comprises the following specific working steps:
the data acquisition module monitors the dustbin and the detection position at the front end of the dustbin through video acquisition;
when video acquisition detects that a person enters a detection position at the front end of the dustbin, the data acquisition module captures the person through image capture and transmits the captured data to the intelligent analysis module;
the intelligent analysis module carries out integration analysis on the monitoring data and the capture data transmitted by the data acquisition module, intelligently judges the garbage throwing type of a person, calculates the distance data between the person and the garbage can, integrates the garbage throwing type data and the distance data between the person and the garbage can, transmits a control signal to the voice reminding module and the picture snapshot module according to the integrated data, and simultaneously transmits the data of the data acquisition module to the picture snapshot module;
the voice reminding module carries out voice broadcasting according to the data transmitted by the intelligent analysis module, the picture snapshot module carries out snapshot according to the data transmitted by the intelligent analysis module, and the snapshot data and the data are transmitted to the cloud platform module;
the cloud platform module stores the transmitted data;
the mobile APP module accesses the cloud platform module through the wireless data and reads the data stored in the cloud platform module, and meanwhile, the mobile APP module can modify the data of the cloud platform module;
(7) a manager can modify the detection area of the data acquisition module and the playing setting of the voice reminding module through the mobile APP module; the specific steps of the mobile APP module are as follows:
capturing snapshot data in the cloud storage management module and video data acquired by the data acquisition module;
the snapshot data in the cloud storage management module and the video data collected by the data collection module are stored and deleted;
self-defining a garbage throwing detection area in a high-definition network camera through a mobile APP module, defining the detection area, and simultaneously controlling the high-definition network camera to identify and automatically create a class detection area to which the garbage can belongs according to the color of the garbage classification box and characters and figures on the garbage can;
carry out suggestion voice setting, language setting, voice broadcast operating time section and the time section of not broadcasting pronunciation to the voice prompt module through removing the APP module.
2. The method for voice prompt and video image supervision of a waste classified delivery site as claimed in claim 1, wherein the data acquisition module specifically comprises the following working steps:
acquiring video information at the position of the garbage can and the detection area in real time;
when people appear around the garbage can, the data acquisition module carries out image capture on the garbage can immediately;
and transmitting the video data and the image capturing data to an intelligent analysis module.
3. The method for voice prompt and video image supervision of a garbage classified delivery site according to claim 1, wherein: the intelligent analysis module comprises the following working steps
Scanning the garbage can and marking the garbage can in sequence;
label the first trash can as L1;
label the second trash can as L2;
marking the nth garbage can as Ln, wherein n is 1- ∞;
carrying out category identification on the marked garbage can;
label the L1 trash can as a1;
label the L2 trash can as a 2;
marking the Ln garbage can as an, and taking n as 1- ∞;
the a1, the a2 and an correspond to different garbage categories respectively;
meanwhile, performing category identification on the front-end detection area of the garbage can after the category identification according to the category of the corresponding garbage can;
recording a detection area in front of the L1 garbage bin as a detection area a1;
recording a detection area in front of the L2 garbage bin as a detection area a 2;
recording a detection area in front of the Ln garbage can as an detection area;
tagging a person in the image capture data;
the first person is labeled a1;
the second person is labeled a 2;
the x-th personnel mark is Ax, and x is 1- ∞;
when people in the image capturing data reach the detection area, identifying the personnel garbage category of the people;
when Ax enters the a1 detection region, it is marked Axa1;
when Ax enters the a2 detection region, it is marked Axa 2;
when Ax enters an detection area, it is marked as Axan;
transmitting the data Axan to a voice reminding module;
integrating personnel garbage category identifications into data sets of Za1, Za2 and Zan according to categories of a1 detection area, a2 detection area and an detection area;
and the personnel in the Za1, Za2, and Zan data sets are separately sorted;
the first data on Axan is noted as Zan 1;
the second data on Axan is noted as Zan 2;
recording the y-th data on the Axan as Zany, and taking y as 1- ∞;
when the personnel in the image capturing data reach the detection area and are not correctly delivered, marking the incorrectly delivered personnel, and transmitting the incorrectly delivered data to the voice reminding module and the picture capturing module;
when the first incorrectly-thrown person appears in the an detection area, the result is marked as an 1;
when a second incorrectly-thrown person appears in the an detection area, the result is marked as an 2;
when the h-th incorrect person is thrown in the an detection area, recording as anh, and taking h as 1- ∞;
extracting the y value in Zany and the h value in anh;
the correctly dosed values in data Zan are obtained and are denoted as Han, which is expressed by the formula: han = (y-h) obtained;
and transmitting the Han data and the video data acquired by the data acquisition module to a picture snapshot module.
4. The method for voice prompt and video image supervision of a garbage classified delivery site according to claim 1, wherein: the voice reminding module specifically comprises the following working steps:
receiving data Axan, incorrectly-delivered data and data transmitted by the mobile APP module;
when the voice reminding module receives Axan, an data is immediately extracted, and a garbage category corresponding to the an data is immediately broadcasted;
when the voice reminding module receives incorrect putting data, immediately carrying out warning broadcasting;
when the voice prompt module receives the data transmitted by the mobile APP module, muting or repeatedly broadcasting is carried out according to the data transmitted by the mobile APP module.
5. The method for voice prompt and video image supervision of a garbage classified delivery site according to claim 1, wherein: the picture snapshot module specifically comprises the following steps:
receiving incorrect delivery data, Han data and video data collected by a data collection module;
when incorrect putting data is received, the snapshot device of the picture snapshot module is started immediately to snapshot the incorrectly put personnel;
and transmitting the snapshot data, the Han data and the video data acquired by the data acquisition module to the cloud storage management module.
6. The method for voice prompt and video image supervision of a garbage classified delivery site according to claim 1, wherein: the cloud storage management module comprises the following specific steps:
receiving data snapshot data, Han data and video data collected by a data collection module;
the snapshot data, the Han data and the video data collected by the data collection module are stored;
data Han is arranged, how much rubbish in each garbage bin is obtained, and then the main rubbish classification that removes the APP module area is reminded, and remind when the garbage bin is full soon.
7. The method for voice prompt and video image supervision of a garbage classified delivery site according to claim 1, wherein: the method for voice prompt and video image supervision of the garbage classification delivery site comprises the functions of video monitoring, video playback, picture playback, equipment management, event management, remote management and remote configuration.
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