CN110909208B - Renewable resource acquisition point video monitoring analysis system based on big data - Google Patents
Renewable resource acquisition point video monitoring analysis system based on big data Download PDFInfo
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Abstract
The invention discloses a renewable resource acquisition point video monitoring and analyzing system based on big data, which comprises a shared server end, an enterprise end, a public security end and a recovery station end, wherein the shared server end is connected with the enterprise end through a network; the recycle bin end has a plurality ofly, and all with shared server end communication connection, the enterprise end has a plurality ofly, and all with shared server communication connection, public security end and shared server end communication connection. Through the monitoring data with personnel and goods that the recycle bin end gathered, the management information and the staff record information of enterprise, the suspicious personnel list of policeman end is integrated, the suspicious transaction analysis module of cooperation shared server end carries out the analysis to the transaction record, calculate suspicious value, can conveniently discern the abnormal conditions in the transaction record fast, simultaneously through calculating suspicious value, the suspicious degree of understanding a large amount of transaction records that can be convenient, make things convenient for the later stage to take out a check, and then avoid appearing other people and pretend to serve the enterprise and carry out selling of regeneration resources, improve supervision dynamics and managerial ability.
Description
Technical Field
The invention relates to the field of monitoring video analysis, in particular to a renewable resource acquisition point video monitoring analysis system based on big data.
Background
The renewable resources refer to material resources which can be recycled by processing after being produced and used by people, and comprise steel, nonferrous metals, plastics, rubber, paper and the like. For a long time, due to the lack of unified planning of a renewable resource recovery system, various problems of disorder, unreasonable layout, no evidence, no-light operation, low construction standard, dirty, disorder, poor recovery utilization rate and the like generally exist. Particularly, other people fake enterprises with false information to sell stolen goods in large recovery amount, and the behavior of 'selling stolen goods' happens occasionally due to lack of video monitoring. It cannot be effectively restrained.
Among the prior art, the monitored control system of purchasing station is relatively independent, can't link with other data, and present intelligent monitoring system, main application is in waste classification field, can't solve above-mentioned problem.
The patent document with publication number CN102416397B discloses an internet of things-based urban garbage classification processing monitoring system, which comprises a central processing module; the satellite positioning module is in wireless connection with the central processing module; the wet garbage treatment monitoring systems are respectively in wireless connection with the central processing module and monitor wet garbage treatment processes of the wet garbage recycling bin, the regional wet garbage centralized recycling station, the wet garbage transport vehicle and the wet garbage disposal plant in real time; and the dry garbage treatment monitoring systems are respectively in wireless connection with the central processing module and monitor the dry garbage treatment processes of the dry garbage recycling bin, the regional dry garbage centralized recycling station, the dry garbage transport vehicle and the dry garbage disposal plant in real time. The invention separately treats the dry and wet garbage, reduces the moisture and the burning stink in the garbage, increases the burning heat value, is beneficial to energy conversion and improves the utilization rate of the garbage.
Disclosure of Invention
In order to solve the technical problems, the invention aims to provide a video monitoring and analyzing system for a renewable resource purchasing point based on big data, which integrates monitoring data of personnel and goods collected by a recovery station end, management information and employee record information of an enterprise and a list of suspicious personnel at a public security end, and is matched with a suspicious transaction analyzing module at a shared server end to analyze transaction records, so that the suspicious degree of a large number of transaction records can be conveniently known, later-stage spot check is convenient, further the situation that other people falsify the enterprise to sell renewable resources is avoided, and the supervision and management capability is improved. Through the monitoring data, the preset volume c of the personnel and goods that will the collection of recycle bin end, the suspicious personnel list of policeman end, can conveniently discern the abnormal conditions in the transaction record fast, can the abnormal conditions in the personal transaction record of adaptation analysis, application scope is wider. The added list is matched with an updating module and an early warning information generating module; the automatic iteration function of the list of the suspicious persons is added, and the function of informing relevant departments to process when the suspicious persons appear can be timely realized, so that the accuracy of the suspicious transaction analysis module is effectively guaranteed, and the timeliness of exception handling is improved.
The technical problem to be solved by the invention is as follows:
A. the situation that other people pretend to be enterprises to sell renewable resources is avoided, and the supervision and management capacity of the recycle bin is improved.
The purpose of the invention can be realized by the following technical scheme:
a big data-based video monitoring and analyzing system for a renewable resource acquisition point comprises a sharing server end, an enterprise end, a public security end and a recovery station end; the recovery station comprises a plurality of recovery station ends, an enterprise end and a public security end, wherein the recovery station ends are all in communication connection with a shared server end, the enterprise ends are all in communication connection with the shared server end, and the public security end is in communication connection with the shared server end;
the enterprise end is used for sending the operation information and the employee record information of each enterprise to the public security end; the management information comprises raw material use information and goods sales information, and the employee record information comprises employee face images and hiring state information;
the public security end is used for uploading stolen case information of renewable resources in the jurisdiction area to the shared server; the stolen case information comprises appearance information, type, quantity and case time of stolen goods;
the recovery station end comprises a video monitoring module, a personnel registration module, a goods registration module and a transaction recording module;
the video monitoring module comprises a portrait acquisition unit and a goods acquisition unit, wherein the portrait acquisition unit is used for acquiring image data of a seller during transaction and acquiring a facial image of the seller according to the acquired image; the goods acquisition unit is used for acquiring appearance information of appearance pictures at a plurality of angles containing the recovered goods;
the personnel registration module is used for recording seller registration information during transaction; the seller registration information comprises seller types, enterprise registration information and personal registration information;
the goods registration module is used for recording goods registration information during transaction, wherein the goods registration information comprises the type and the quantity of the recycled goods;
the transaction record module is used for generating a transaction record containing information of a recycling station end for performing transaction according to the collected appearance information of the recycled goods, the facial image of a seller, the goods registration information and the seller registration information, and uploading the transaction record to the sharing server end; the recycle bin end information comprises position information and a number of the recycle bin end;
the sharing server side comprises a suspicious personnel recording module, a storage module and a suspicious transaction analysis module;
the storage module is used for receiving and storing data uploaded by an enterprise terminal, a public security terminal and each recycle bin terminal;
the suspicious personnel recording module is used for updating a suspicious personnel list;
and the suspicious transaction analysis module is used for calculating suspicious values of all transaction records according to appearance information of the recovered goods, facial images of the salespersons, salesperson registration information, goods registration information, stolen case information, operation information, employee record information and suspicious person lists in the transaction records.
Further, the suspicious transaction analysis module comprises a goods comparison unit, an enterprise recovery comparison unit and a suspicious value calculation unit;
the goods comparison unit is used for comparing the similarity of the appearance information of the recovered goods with the appearance information of the stolen goods in the stolen case information, and adding a suspicious goods label to the goods registration information after the similarity exceeds a preset threshold b;
the enterprise recovery comparison unit is used for matching the acquired face images of the salesman with the employee face images in the employee record information and matching the salesman registration information with the employment status information:
if at least one of the facial image of the seller personnel is not matched with the employee facial image in the employee filing information or the seller registration information is not matched with the hiring status information is met, the suspicious value is + 1;
if the face image of the seller personnel is matched with the employee face image in the employee record information and the seller registration information is matched with the hiring state information, the suspicious value is + 0;
the enterprise recycling comparison unit is also used for screening out transaction records of which the seller type is the enterprise from all the transaction records to serve as first alternative transaction records; and then acquiring the type of the recovered goods in the goods registration information from the first alternative transaction record, and matching the type of the stolen goods in all the stolen case information:
if the stolen goods with the same type as the recovered goods do not exist, the suspicious value is + 0;
if stolen goods with the same type as the recovered goods exist, calling a goods comparison unit to compare the appearance information of the recovered goods in the transaction record with the appearance information of the stolen goods:
if a suspect cargo tag is flagged, the suspect value +1,
if the suspicious goods label is not marked, the suspicious value is + 0;
the enterprise recycling comparison unit is further used for matching the types of the recycled goods in the first alternative transaction record with the raw material use information and the goods sales information in the business information of the enterprise:
if the type of the recovered goods matches at least one of the raw material usage information or the goods sales information, the suspect value +0,
if the types of the recovered goods are not matched with the raw material use information or the goods sale information, the suspicious value is + 1;
and the suspicious value calculating unit is used for counting the total number of the suspicious values analyzed by the enterprise recovery comparison unit.
Further, the suspicious transaction analysis module further comprises a personal recovery comparison unit;
the personal recycling comparison unit is used for matching the obtained face image of the seller with the face image of the seller in the list of the suspicious person, if the matching is successful, the suspicious value is +2, and if the matching is unsuccessful, the suspicious value is + 0;
the personal recovery comparison unit is also used for screening out the transaction records with the seller type as the personal from all the transaction records as a second alternative transaction record; and then acquiring the type of the recovered goods in the goods registration information from the second alternative transaction record, and matching the type of the recovered goods with the types of the stolen goods in all the stolen case information:
if stolen goods with the same type as the recovered goods do not exist, comparing the quantity of the recovered goods with a preset quantity c, if the quantity of the recovered goods is larger than or equal to the preset quantity c, obtaining a suspicious value of +1, and if the quantity of the recovered goods is smaller than the preset quantity c, obtaining a suspicious value of + 0;
if stolen goods with the same type as the recovered goods exist, calling a goods comparison unit to compare the appearance information of the recovered goods in the transaction record with the appearance information of the stolen goods:
if a suspect cargo tag is flagged, the suspect value +1,
if the suspicious goods label is not marked, the suspicious value is + 0;
the suspicious value calculating unit is also used for counting the total number of the suspicious values analyzed by the personal recovery comparing unit.
Further, the shared server also comprises a list updating module and an early warning information generating module;
the list updating module is used for uploading the registration information of the seller and the facial image of the seller to the suspicious personnel recording module when the transaction records are that the face image of the enterprise and the seller personnel is matched with the face image of the employee in the employee record information and the registration information of the seller is matched with the hiring state information and the suspicious value is more than 1, and updating the suspicious personnel list;
the list updating module is also used for uploading the personal registration information and the facial image of the seller to the suspicious personnel recording module when the transaction record is personal, the facial image of the seller personnel is not matched with at least one of the employee facial image in the employee record information and the seller registration information and the employment state information, and the suspicious value is more than 1, and updating the suspicious personnel list;
the early warning information generation module is used for generating early warning information and sending the early warning information to a public security terminal when a seller in a suspicious personnel list conducts renewable resource transaction at a purchase point; the early warning information comprises recovery station end information, seller registration information and cargo registration information.
The invention has the beneficial effects that:
(1) through the monitoring data with personnel and goods that the recycle bin end gathered, the management information and the staff information of filing for record of enterprise, the suspicious personnel list of policeman end is integrated, the suspicious transaction analysis module of cooperation shared server end carries out the analysis to the transaction record, calculate suspicious value, can conveniently discern the abnormal conditions in the transaction record fast, simultaneously through calculating suspicious value, the suspicious degree of a large amount of transaction records of understanding that can be convenient, make things convenient for the later stage to take out the inspection, and then avoid other people to appear pretend to be the enterprise and carry out selling of regeneration resources, improve supervision dynamics and managerial ability.
(2) Through the personnel that will retrieve the station end collection and the monitoring data of goods, default volume c, the suspicious personnel list of policeman end, the personal recovery contrast unit that the cooperation was increased realizes carrying out the analysis to the transaction record that the seller is individual, can conveniently discern the abnormal conditions in the transaction record fast, simultaneously through calculating suspicious value, can the adaptation analysis go out the abnormal conditions in individual transaction record, application scope is wider.
(3) The added list is matched with an updating module and an early warning information generating module; the automatic iteration function of the list of the suspicious persons is added, and the function of informing relevant departments to process when the suspicious persons appear can be timely realized, so that the accuracy of the suspicious transaction analysis module is effectively guaranteed, and the timeliness of exception handling is improved.
Drawings
The invention will be further described with reference to the accompanying drawings.
FIG. 1 is a system block diagram of embodiment 1 of the present invention;
FIG. 2 is a system block diagram of embodiment 2 of the present invention;
fig. 3 is a system block diagram of embodiment 3 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.
Example 1
Referring to fig. 1, the present embodiment provides a renewable resource acquisition point video monitoring and analyzing system based on big data, which includes a shared server side, an enterprise side, a public security side, and a recycle bin side; the recovery station comprises a plurality of recovery station ends, an enterprise end and a public security end, wherein the recovery station ends are all in communication connection with a shared server end, the enterprise ends are all in communication connection with the shared server end, and the public security end is in communication connection with the shared server end;
the enterprise end corresponds to each enterprise one by one, and the enterprise end is used for sending the operation information and the employee record information of the enterprise to the public security end by each enterprise; the management information comprises raw material use information and goods sales information, and the employee record information comprises employee face images and hiring state information;
the raw material use information, namely all raw materials required by production and operation, may result in waste materials due to improper storage, and the goods sale information, namely all products sold, may result in waste materials due to poor sale, so that both of the above two types may generate recyclable resources, such as waste copper, waste iron and other waste metals.
The public security end is arranged in a department related to processing recovery abnormity and used for uploading stolen case information of renewable resources in a jurisdiction area to the shared server; the stolen case information comprises appearance information, type, quantity and case time of stolen goods;
the stolen renewable resources are recorded so that data for comparison can be available when the stolen resources are sold, and the appearance information can be the package of the renewable resources or the picture, color, shape, size parameters and the like of the product.
The recovery station end comprises a video monitoring module, a personnel registration module, a goods registration module and a transaction recording module;
the video monitoring module comprises a portrait acquisition unit and a goods acquisition unit, wherein the portrait acquisition unit is used for acquiring image data of a seller during transaction and acquiring a facial image of the seller according to the acquired image; the goods acquisition unit is used for acquiring appearance information of appearance pictures at a plurality of angles containing the recovered goods; the appearance pictures are at least pictures taken from 6 different angles and are used for extracting the pictures, colors, shapes, size parameters and the like of the packages of goods or products.
The personnel registration module is used for recording seller registration information during transaction; the seller registration information comprises seller types, enterprise registration information and personal registration information;
the goods registration module is used for recording goods registration information during transaction, wherein the goods registration information comprises the type and the quantity of the recycled goods;
the transaction record module is used for generating a transaction record containing information of a recycling station end for performing transaction according to the collected appearance information of the recycled goods, the facial image of a seller, the goods registration information and the seller registration information, and uploading the transaction record to the sharing server end; the recycle bin end information comprises position information and a number of the recycle bin end; the method can be used for positioning the position of the stolen goods seller, and is convenient for relevant departments to timely arrive at the site for processing.
The sharing server side comprises a suspicious personnel recording module, a storage module and a suspicious transaction analysis module;
the storage module is used for receiving and storing data uploaded by an enterprise terminal, a public security terminal and each recycle bin terminal;
the suspicious personnel recording module is used for updating a suspicious personnel list; the list of suspect persons includes business information as well as personal information.
And the suspicious transaction analysis module is used for calculating suspicious values of all transaction records according to appearance information of the recovered goods, facial images of the salespersons, salesperson registration information, goods registration information, stolen case information, operation information, employee record information and suspicious person lists in the transaction records.
The suspicious transaction analysis module comprises a goods comparison unit, an enterprise recovery comparison unit and a suspicious value calculation unit;
the goods comparison unit is used for comparing the similarity of the appearance information of the recovered goods with the appearance information of the stolen goods in the stolen case information, and adding a suspicious goods label to the goods registration information after the similarity exceeds a preset threshold b; if b is 90%, the similarity can be calculated by recognizing the characteristic information of the object, such as color, shape, size, etc., using the existing image recognition engine.
The enterprise recycling comparison unit is used for matching the acquired face image of the seller personnel with the employee face image in the employee record information and matching the seller registration information with the employment state information:
the facial image comparison adopts a face recognition technology, whether a face exists in an input face image or video stream is judged firstly based on the face characteristics of a person, and if the face exists, the position and the size of each face and the position information of each main facial organ are further given. And further extracting the identity characteristics implied in each face according to the information, and comparing the identity characteristics with the known faces so as to identify the identity of each face.
If at least one of the facial image of the seller personnel is not matched with the facial image of the employee in the employee record information or the seller registration information is not matched with the employment state information is satisfied, the reliability of the registered data is low, and the personnel is not the employee of the enterprise, the suspicious value is + 1;
if the face image of the seller personnel is matched with the face image of the employee in the employee record information and the seller registration information is matched with the hiring state information, the seller registration information indicates that the personnel belongs to the employee of the corresponding enterprise, and the suspicious value is + 0;
the enterprise recycling comparison unit is also used for screening out transaction records of which the seller type is the enterprise from all the transaction records to serve as first alternative transaction records; and then acquiring the type of the recovered goods in the goods registration information from the first alternative transaction record, and matching the type of the stolen goods in all the stolen case information:
if the stolen goods with the same type as the recycled goods do not exist, the suspicious value is + 0;
if stolen goods with the same type as the recovered goods exist, calling a goods comparison unit to compare the appearance information of the recovered goods in the transaction record with the appearance information of the stolen goods:
if the label is marked with the suspicious goods label, the types of the goods are the same, the appearance information is similar or the same, the suspicious value is +1,
if no suspicious goods label is marked, the types of the goods are the same, but the appearance information is different, and then the suspicious value is + 0;
the enterprise recycling comparison unit is further used for matching the types of the recycled goods in the first alternative transaction record with the raw material use information and the goods sales information in the business information of the enterprise:
if the type of the recycled goods matches at least one of the raw material usage information or the goods sales information, indicating that the enterprise has a condition for generating renewable resources of that type, then the suspect value +0,
if the type of the recovered goods is not matched with the raw material use information or the goods sales information, the enterprise does not have the condition of generating the renewable resources of the type, and then the suspicious value is + 1;
the suspicious value calculating unit is used for counting the total number of the suspicious values analyzed by the enterprise recovery comparison unit, and the larger the suspicious value is, the more abnormal the transaction record is, so that the transaction record can be conveniently checked.
Example 2
Referring to fig. 2, the difference from embodiment 1 is that, on the basis of embodiment 1, the suspicious transaction analysis module further includes a personal recovery comparison unit; the analysis function of the personal transaction record is added, so that the whole system can be simultaneously adapted to the recovery business of enterprises and individuals.
The personal recycling comparison unit is used for matching the obtained face image of the seller with the face image of the seller in the list of the suspicious person, if the matching is successful, the obtained face image of the seller is the suspicious person, the transaction behavior of the suspicious person needs to be subjected to key inspection, and the obtained face image of the seller is suspicious +2, and if the matching is unsuccessful, the obtained face image of the seller is suspicious + 0;
the personal recovery comparison unit is also used for screening out the transaction records with the seller type as the personal from all the transaction records as a second alternative transaction record; and then acquiring the type of the recovered goods in the goods registration information from the second alternative transaction record, and matching the type of the recovered goods with the types of the stolen goods in all the stolen case information:
if stolen goods with the same type as the recovered goods do not exist and further detection is needed, comparing the quantity of the recovered goods with a preset quantity c, if the quantity of the recovered goods is larger than or equal to the preset quantity c, a person obtains a large amount of renewable resources in a normal mode with high difficulty and needs to detect a suspicious value of +1, and if the quantity of the recovered goods is smaller than the preset quantity c, the suspicious value of + 0;
if stolen goods with the same type as the recovered goods exist, calling a goods comparison unit to compare the appearance information of the recovered goods in the transaction record with the appearance information of the stolen goods:
if the suspicious goods label is marked, the types of the goods are the same, the appearance information is similar or the same suspicious value +1,
if no suspicious goods label is marked, the types of the goods are the same, and the appearance information is different, then the suspicious value is + 0;
the suspicious value calculating unit is also used for counting the total number of the suspicious values analyzed by the personal recovery comparing unit.
Example 3
Referring to fig. 3, the difference from embodiment 2 is that, on the basis of embodiment 2, the shared server further includes a list updating module and an early warning information generating module; the automatic iteration function of the list of the suspicious personnel is added, and the function of informing relevant departments to process in time when the suspicious personnel appear is realized. The method specifically comprises the following steps:
the list updating module is used for indicating that the transaction behavior is enterprise behavior when the transaction records are that the face images of enterprises, the salesperson personnel and the employee face images in the employee record information are matched with each other and the suspicious value is greater than 1, so that the enterprises and individuals need to be brought into a suspicious personnel list, the salesperson registration information and the face images of the salesperson personnel are uploaded to the suspicious personnel recording module, and the suspicious personnel list is updated;
the list updating module is also used for indicating that the transaction behavior is the personal behavior of a fake enterprise when at least one of the transaction record is personal, the face image of the seller personnel is not matched with the face image of the employee in the employee record information, the seller registration information is not matched with the employment state information, and the suspicious value is more than 1, so that the corresponding enterprise does not need to be brought into the suspicious personnel recording module, the personal registration information and the face image of the seller personnel are uploaded to the suspicious personnel recording module, and the suspicious personnel list is updated;
the early warning information generation module is used for generating early warning information and sending the early warning information to a public security terminal when a seller in a suspicious personnel list conducts renewable resource transaction at a purchase point; the early warning information comprises recovery station end information, seller registration information and cargo registration information.
The foregoing is merely exemplary and illustrative of the present invention and various modifications, additions and substitutions may be made by those skilled in the art to the specific embodiments described without departing from the scope of the invention as defined in the following claims.
Claims (3)
1. A renewable resource acquisition point video monitoring and analyzing system based on big data is characterized by comprising a shared server end, an enterprise end, a public security end and a recovery station end; the recovery station comprises a plurality of recovery station ends, an enterprise end and a public security end, wherein the recovery station ends are all in communication connection with a shared server end, the enterprise ends are all in communication connection with the shared server end, and the public security end is in communication connection with the shared server end;
the enterprise end is used for sending the operation information and the employee record information of each enterprise to the public security end; the management information comprises raw material use information and goods sales information, and the employee record information comprises employee face images and hiring state information;
the public security end is used for uploading stolen case information of renewable resources in the jurisdiction area to the shared server; the stolen case information comprises appearance information, type, quantity and case time of stolen goods;
the recovery station end comprises a video monitoring module, a personnel registration module, a goods registration module and a transaction recording module;
the video monitoring module comprises a portrait acquisition unit and a goods acquisition unit, wherein the portrait acquisition unit is used for acquiring image data of a seller during transaction and acquiring a facial image of the seller according to the acquired image; the goods acquisition unit is used for acquiring appearance information of appearance pictures at a plurality of angles containing the recovered goods;
the personnel registration module is used for recording seller registration information during transaction; the seller registration information comprises seller types, enterprise registration information and personal registration information;
the goods registration module is used for recording goods registration information during transaction, wherein the goods registration information comprises the type and the quantity of the recycled goods;
the transaction record module is used for generating a transaction record containing information of a recycling station end for performing transaction according to the collected appearance information of the recycled goods, the facial image of a seller, the goods registration information and the seller registration information, and uploading the transaction record to the sharing server end; the recycle bin end information comprises position information and a serial number of a recycle bin end;
the sharing server side comprises a suspicious personnel recording module, a storage module and a suspicious transaction analysis module;
the storage module is used for receiving and storing data uploaded by an enterprise terminal, a public security terminal and each recycle bin terminal;
the suspicious personnel recording module is used for updating a suspicious personnel list;
the suspicious transaction analysis module is used for calculating suspicious values of all transaction records according to appearance information of the recovered goods, facial images of salespersons, salesperson registration information, goods registration information, stolen case information, operation information, employee record information and a suspicious person list in the transaction records;
the suspicious transaction analysis module comprises a goods comparison unit, an enterprise recovery comparison unit and a suspicious value calculation unit;
the goods comparison unit is used for comparing the similarity of the appearance information of the recovered goods with the appearance information of the stolen goods in the stolen case information, and adding a suspicious goods label to the goods registration information after the similarity exceeds a preset threshold b;
the enterprise recycling comparison unit is used for matching the acquired face image of the seller personnel with the employee face image in the employee record information and matching the seller registration information with the employment state information:
if at least one of the facial image of the seller personnel is not matched with the employee facial image in the employee filing information or the seller registration information is not matched with the hiring status information is met, the suspicious value is + 1;
if the face image of the seller personnel is matched with the employee face image in the employee record information and the seller registration information is matched with the hiring state information, the suspicious value is + 0;
the enterprise recycling comparison unit is also used for screening out transaction records of which the seller type is the enterprise from all the transaction records to serve as first alternative transaction records; and then acquiring the type of the recovered goods in the goods registration information from the first alternative transaction record, and matching the type of the stolen goods in all the stolen case information:
if the stolen goods with the same type as the recovered goods do not exist, the suspicious value is + 0;
if stolen goods with the same type as the recovered goods exist, calling a goods comparison unit to compare the appearance information of the recovered goods in the transaction record with the appearance information of the stolen goods:
if a suspect cargo tag is flagged, the suspect value +1,
if the suspicious goods label is not marked, the suspicious value is + 0;
the enterprise recycling comparison unit is further used for matching the types of the recycled goods in the first alternative transaction record with the raw material use information and the goods sales information in the business information of the enterprise:
if the type of the recovered goods matches at least one of the raw material usage information or the goods sales information, the suspect value +0,
if the types of the recovered goods are not matched with the raw material use information or the goods sale information, the suspicious value is + 1;
and the suspicious value calculating unit is used for counting the total number of the suspicious values analyzed by the enterprise recovery comparison unit.
2. The big-data-based renewable resource acquisition point video monitoring and analysis system according to claim 1, wherein the suspicious transaction analysis module further comprises a personal recovery comparison unit;
the personal recycling comparison unit is used for matching the obtained face image of the seller with the face image of the seller in the list of the suspicious person, if the matching is successful, the suspicious value is +2, and if the matching is unsuccessful, the suspicious value is + 0;
the personal recovery comparison unit is also used for screening out the transaction records with the seller type as the personal from all the transaction records as a second alternative transaction record; and then acquiring the type of the recovered goods in the goods registration information from the second alternative transaction record, and matching the type of the recovered goods with the types of the stolen goods in all the stolen case information:
if stolen goods with the same type as the recovered goods do not exist, comparing the quantity of the recovered goods with a preset quantity c, if the quantity of the recovered goods is larger than or equal to the preset quantity c, obtaining a suspicious value of +1, and if the quantity of the recovered goods is smaller than the preset quantity c, obtaining a suspicious value of + 0;
if stolen goods with the same type as the recovered goods exist, calling a goods comparison unit to compare the appearance information of the recovered goods in the transaction record with the appearance information of the stolen goods:
if a suspect cargo tag is flagged, the suspect value +1,
if the suspicious goods label is not marked, the suspicious value is + 0;
the suspicious value calculating unit is also used for counting the total number of the suspicious values analyzed by the personal recovery comparing unit.
3. The renewable resource acquisition point video monitoring and analysis system based on big data as claimed in claim 2, wherein the shared server further comprises a list updating module and an early warning information generating module;
the list updating module is used for uploading the registration information of the seller and the facial image of the seller to the suspicious personnel recording module when the transaction records are that the face image of the enterprise and the seller personnel is matched with the face image of the employee in the employee record information and the registration information of the seller is matched with the hiring state information and the suspicious value is more than 1, and updating the suspicious personnel list;
the list updating module is also used for uploading the personal registration information and the facial image of the seller to the suspicious personnel recording module and updating the suspicious personnel list when the transaction record is personal, the facial image of the seller personnel is not matched with at least one of the employee facial image in the employee record information and the seller registration information and the employment state information, and the suspicious value is more than 1;
the early warning information generation module is used for generating early warning information and sending the early warning information to a public security terminal when a seller in a suspicious personnel list conducts renewable resource transaction at a purchase point; the early warning information comprises recovery station end information, seller registration information and cargo registration information.
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Denomination of invention: A big data-based video monitoring and analysis system for renewable resource acquisition points Effective date of registration: 20231012 Granted publication date: 20220705 Pledgee: The development of small and medium-sized enterprises financing Company Limited by Guarantee Jieshou City Pledgor: ANHUI HUANJIA TIANYI RENEWABLE RESOURCES Co.,Ltd. Registration number: Y2023980060932 |