CN115309938B - Method and system for monitoring and managing law enforcement big data analysis mining - Google Patents
Method and system for monitoring and managing law enforcement big data analysis mining Download PDFInfo
- Publication number
- CN115309938B CN115309938B CN202211224307.0A CN202211224307A CN115309938B CN 115309938 B CN115309938 B CN 115309938B CN 202211224307 A CN202211224307 A CN 202211224307A CN 115309938 B CN115309938 B CN 115309938B
- Authority
- CN
- China
- Prior art keywords
- information
- video
- evidence
- law enforcement
- data
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000007405 data analysis Methods 0.000 title claims abstract description 19
- 238000000034 method Methods 0.000 title claims abstract description 18
- 238000005065 mining Methods 0.000 title claims abstract description 18
- 238000012544 monitoring process Methods 0.000 title description 4
- 230000008569 process Effects 0.000 claims abstract description 6
- 239000000284 extract Substances 0.000 claims description 9
- 230000001815 facial effect Effects 0.000 claims description 4
- 238000007726 management method Methods 0.000 description 7
- 230000001105 regulatory effect Effects 0.000 description 6
- 238000007619 statistical method Methods 0.000 description 5
- 238000010586 diagram Methods 0.000 description 4
- 238000013523 data management Methods 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 3
- 230000004048 modification Effects 0.000 description 3
- 238000012986 modification Methods 0.000 description 3
- 238000003860 storage Methods 0.000 description 3
- 230000009286 beneficial effect Effects 0.000 description 2
- 238000007418 data mining Methods 0.000 description 2
- 238000001514 detection method Methods 0.000 description 2
- 238000009826 distribution Methods 0.000 description 2
- 238000007689 inspection Methods 0.000 description 2
- 238000004519 manufacturing process Methods 0.000 description 2
- 238000009825 accumulation Methods 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 210000001503 joint Anatomy 0.000 description 1
- 230000008520 organization Effects 0.000 description 1
- 238000012216 screening Methods 0.000 description 1
- 230000003068 static effect Effects 0.000 description 1
- 239000000126 substance Substances 0.000 description 1
- 238000012546 transfer Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/70—Information retrieval; Database structures therefor; File system structures therefor of video data
- G06F16/71—Indexing; Data structures therefor; Storage structures
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/70—Information retrieval; Database structures therefor; File system structures therefor of video data
- G06F16/78—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
- G06F16/783—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
- G06F16/7834—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content using audio features
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/70—Information retrieval; Database structures therefor; File system structures therefor of video data
- G06F16/78—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
- G06F16/783—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
- G06F16/7837—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content using objects detected or recognised in the video content
- G06F16/784—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content using objects detected or recognised in the video content the detected or recognised objects being people
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/40—Extraction of image or video features
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
- G06V10/74—Image or video pattern matching; Proximity measures in feature spaces
- G06V10/761—Proximity, similarity or dissimilarity measures
-
- 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
- G06V20/46—Extracting features or characteristics from the video content, e.g. video fingerprints, representative shots or key frames
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N5/00—Details of television systems
- H04N5/76—Television signal recording
Abstract
The invention provides a method and a system for supervising and enforcing big data analysis mining, wherein the system comprises the following steps: a plurality of law enforcement recording means, a server and a large database; the law enforcement recording device has the function of capturing video, pictures and audio, and sends the video, the pictures and the audio captured in real time to the server through a wireless network; the server processes the video, the picture and the audio received from the law enforcement recording device and stores the processed video, the processed picture and the processed audio into a large database as evidence data. The invention effectively realizes a high-efficiency collaborative in-a-matter supervision law enforcement scheme, can acquire the past law enforcement information of the related personnel from a large database while the law enforcement recording device performs law enforcement, and effectively improves the data accuracy and prevents evidence data from being fed back to law enforcement personnel by mistake to cause evidence leakage because of the comparison of the face information and the voiceprint information of the video acquired in real time.
Description
Technical Field
The invention relates to the technical field of big data and law enforcement records, in particular to a method and a system for monitoring and managing law enforcement big data analysis and mining.
Background
At present, in the data management of big data, a plurality of problems are faced, the problems prevent the interconnection and the high-efficiency utilization of the data, become the bottleneck that the data value is difficult to release effectively, and mainly comprise the following points:
one is the lack of unified data views. The data resources are scattered in a plurality of business systems, owners and business personnel cannot timely sense the distribution and update conditions of the data, cannot quickly find the data meeting the own requirements, and cannot find and identify valuable data for management.
Secondly, data islands are ubiquitous. The reasons for the data island include technical aspects and standard and management aspects, which prevent smooth data sharing among business systems and reduce resource utilization rate and availability of data.
Third, the data quality is low. Poor data quality often means poor traffic decisions, which directly lead to problems such as inaccurate data statistics analysis, difficult traffic supervision, difficult decisions for higher-level leaders, etc. Data can be regarded as a production element and has increasingly great value, and the premise is that the quality of the data is continuously improved.
Fourth, a data environment lacking security. The risks caused by data security mainly comprise data leakage, data abuse and the like. With the rapid accumulation of data, once a data security event occurs, its hazard to users will become greater, constraining the release of data value.
Fifthly, a data value management system is lacked. Most enterprises have not established a model for efficient management and application of data, including data value assessment, data cost management, etc., nor have they lacked compliance guidelines for data services and data applications to find an "optimal path" for releasing data value.
In particular to law enforcement supervision, the law enforcement recorder is widely applied to the fields of public inspection law, various indoor and outdoor detection places and other scenes needing real-time communication. However, the large amount of data collected by law enforcement recorders often does not allow for efficient sharing of data, particularly while law enforcement is being monitored afterwards in the event to assist users in searching for relevant information during law enforcement or after evidence collection.
For example, chinese patent application CN113596368A discloses an information acquisition method based on law enforcement recorder and law enforcement recorder, wherein the accident type is deduced from voice information; matching one or more corresponding accident elements according to the accident type; and screening element images from video stream data according to the accident elements, and associating the element images with the accident elements, wherein the video stream data is obtained by shooting by a camera arranged on a law enforcement recorder. The application can facilitate law enforcement personnel to conveniently find the effect of the related data.
However, the above-mentioned patent application does not enable efficient sharing of large amounts of data of law enforcement recorders, especially sharing while law enforcement is being supervised afterwards in the event to assist users in searching for relevant information during law enforcement or after evidence collection.
Thus, it is desirable to provide an efficient collaborative in-affair post-hoc regulatory law enforcement.
Disclosure of Invention
Aiming at the defects in the prior art, the technical problem to be solved by the invention is to provide a system for supervising and analyzing and mining law enforcement big data, which can realize efficient collaborative in-affair post-supervision law enforcement system.
According to the present invention, there is provided a system for supervising and enforcing big data analysis mining, characterized by comprising: a plurality of law enforcement recording means, a server and a large database; the law enforcement recording device has the function of capturing video, pictures and audio, and sends the video, the pictures and the audio captured in real time to the server through a wireless network; the server processes the video, the picture and the audio received from the law enforcement recording device and stores the processed video, the processed picture and the processed audio into a large database as evidence data.
Preferably, the server receives the video received from the law enforcement recording device, extracts human face image information from the video as first digest information of the video, extracts voiceprint information of sound from the video as second digest information of the video, and stores the first digest information and the second digest information together in association with the video as video evidence data in a large database;
when the server receives the video from the law enforcement recorder, the server extracts the face image information and the voiceprint information from the video, and searches the first abstract information and the second abstract information of all video evidence data in the large database by using the extracted face image information and the voiceprint information, and when the video evidence data of which the first abstract information and the second abstract information are matched with the extracted face image information and the voiceprint information respectively is searched, all evidence information which is stored in the large database and related to the matched video evidence data is fed back to the corresponding law enforcement recorder.
Preferably, when the similarity between the extracted human face image information and the first abstract information in the large database is greater than a first threshold value, judging that the extracted voiceprint information is matched with the second abstract information in the large database; and when the similarity between the extracted voiceprint information and the second abstract information in the large database is larger than a second threshold value, judging that the extracted facial image information is matched with the second abstract information in the large database.
Preferably, each law enforcement recorder has a unique identification code representing the evidence reading authority, and the law enforcement recorder transmits the unique identification code representing the evidence reading authority as additional information to the server in association with transmitting the video, the picture and the audio captured in real time to the server through the wireless network.
Preferably, before feeding back the video evidence data to the corresponding law enforcement recording device, the server checks whether the evidence reading authority represented by the unique identification code in the additional information of the video evidence data to be fed back is not higher than the evidence reading authority represented by the unique identification code of the corresponding law enforcement recording device, and feeds back the video evidence data to the corresponding law enforcement recording device only if the evidence reading authority represented by the unique identification code in the additional information of the video evidence data to be fed back is not higher than the evidence reading authority represented by the unique identification code of the corresponding law enforcement recording device.
Preferably, the system for supervising and enforcing big data analysis mining further comprises: and a search device.
The retrieval device is used for providing the current face photo and the previous year face photo of the target person to be retrieved for the server, and providing the current sound information and the previous year audio recording of the target person to be retrieved for the server;
the server searches the first abstract information of all video evidence data in a large database by using the current face photo and the previous year face photo when receiving data from the searching device, and acquires a set of video evidence data matched with at least one of the current face photo and the previous year face photo;
then, the server searches the second abstract information in the set of video evidence data by utilizing the current sound information and the previous-year audio record, acquires video evidence data matched with at least one of the current sound information and the voiceprints of the previous-year audio record, and feeds back all evidence information related to the acquired video evidence data to the corresponding searching device.
Preferably, each of the retrieval devices has a unique identification code indicating the evidence reading authority, and the retrieval device transmits the unique identification code indicating the evidence reading authority as additional information to the server in association while providing the information of the target person to be retrieved to the server.
Preferably, the server checks whether the evidence reading authority represented by the unique identification code in the additional information of the video evidence data to be fed back is not higher than the evidence reading authority represented by the unique identification code of the corresponding retrieval device, before feeding back the video evidence data to the corresponding retrieval device, and feeds back the video evidence data to the corresponding retrieval device only in the case that the evidence reading authority represented by the unique identification code in the additional information of the video evidence data to be fed back is not higher than the evidence reading authority represented by the unique identification code of the corresponding retrieval device.
Preferably, there is a standardized single entry end and a standardized single exit end between the server and the large database.
Preferably, the first digest information and the second digest information are stored in metadata of the big data.
The invention further discloses a method for monitoring and managing law enforcement big data analysis and mining, and the method is carried out by adopting the system.
The invention effectively realizes a high-efficiency collaborative in-process and post-process supervision law enforcement scheme, and can acquire the past law enforcement information of the related personnel from a large database at the same time of law enforcement of the law enforcement recording device or after law enforcement, thereby realizing effective in-process sharing of the law enforcement information.
In addition, as the face information and the voiceprint information of the video acquired in real time are compared, the data accuracy is effectively improved, and evidence leakage caused by incorrect feedback of evidence data to law enforcement personnel can be prevented.
In addition, the invention effectively reduces the data retrieval amount, improves the data retrieval efficiency and improves the data feedback efficiency because only the abstract information is retrieved instead of video retrieval.
The invention can feed back the evidence based on the evidence reading authority, thereby avoiding confidential information from being read by low authority personnel and ensuring confidentiality and security of the evidence.
In the invention, when the server receives the video from the law enforcement recording device, the first abstract information and the second abstract information of the received video are stored in the large database together with the video in association as video evidence data, and the first abstract information and the second abstract information of the received video are simultaneously utilized to search in the large database so as to feed back all evidence information related to the matched video evidence data stored in the large database to the corresponding law enforcement recording device. In this way, the currently stored video information and associated data of the big data are fed back together in real time to the law enforcement recording device for display. The law enforcement recording device can know which video information the video fed back currently aims at according to the video sent by the law enforcement recording device, and is beneficial to staff or law enforcement personnel to distinguish the attribution problem of the feedback information when frequently obtaining evidence.
Drawings
The invention will be more fully understood and its attendant advantages and features will be more readily understood by reference to the following detailed description, when taken in conjunction with the accompanying drawings, in which:
fig. 1 schematically shows a system block diagram of a regulatory, law enforcement big data analysis mining according to a first preferred embodiment of the invention.
Fig. 2 schematically illustrates a system block diagram of a regulatory, law enforcement big data analysis mining, according to a second preferred embodiment of the invention.
It should be noted that the drawings are for illustrating the invention and are not to be construed as limiting the invention. Note that the drawings representing structures may not be drawn to scale. Also, in the drawings, the same or similar elements are denoted by the same or similar reference numerals.
Detailed Description
In order that the invention may be more readily understood, a detailed description of the invention is provided below along with specific embodiments and accompanying figures.
< first preferred embodiment >
Fig. 1 schematically shows a system block diagram of a regulatory, law enforcement big data analysis mining according to a first preferred embodiment of the invention.
As shown in fig. 1, a system for supervising and enforcing big data analysis mining according to a preferred embodiment of the present invention includes: a plurality of law enforcement recording means 10, a server 20 and a large database 30.
Among them, the law enforcement recording device 10 has a function of capturing video, pictures, and audio, and transmits the video, pictures, and audio captured in real time to the server 20 through a wireless network.
The server 20 processes the video, picture and audio received from the law enforcement recorder 10 and stores them in the large database 30 as evidence data.
More specifically, the server 20 receives the video received from the law enforcement recording device 10, extracts human face image information from the video as first digest information of the video, extracts voiceprint information of sound from the video as second digest information of the video, and stores the first digest information and the second digest information together in association with the video as video evidence data in the large database 30.
Preferably, the first digest information and the second digest information are stored in metadata of the big data.
Also, upon receiving the video from the law enforcement recording device 10, the server 20 extracts the human face image information and the voiceprint information from the video, and searches the first digest information and the second digest information of all video evidence data in the large database 30 using the extracted human face image information and voiceprint information, and upon retrieving video evidence data in which the first digest information and the second digest information match the extracted human face image information and voiceprint information, respectively, all evidence information (e.g., all text, video, picture, and audio information of the same case as the video) stored in the large database 30, which is related to the matched video evidence data, is fed back to the corresponding law enforcement recording device 10.
It can be seen that upon receipt of a video from law enforcement recording device 10, server 20 stores the received first summary information and second summary information of the video in association with the video in large database 30 as video evidence data, while utilizing the received first summary information and second summary information of the video to retrieve in the large database so as to feed back all evidence information stored in large database 30 that is related to the matched video evidence data to the corresponding law enforcement recording device 10. In this way, the currently stored video information and associated data of the big data are fed back together in real time to the law enforcement recording device 10 for display. So that the law enforcement recorder 10 can learn which video information the video currently fed back is for according to the video sent by itself, which is beneficial for staff or law enforcement personnel to distinguish the attribution problem of the fed back information when frequently obtaining evidence.
For example, when the similarity of the extracted human face image information and the first digest information in the large database 30 is greater than a first threshold, it is determined that the extracted voiceprint information matches the first digest information in the large database 30. For another example, when the similarity of the extracted voiceprint information and the second digest information in the large database 30 is greater than the second threshold, it is determined that the extracted human face image information matches the second digest information in the large database 30.
Therefore, the invention effectively realizes a high-efficiency collaborative in-process supervision law enforcement scheme, and can acquire the past law enforcement information of the related personnel from the large database while the law enforcement recording device performs law enforcement, thereby realizing effective in-process sharing of the law enforcement information.
In addition, as the face information and the voiceprint information of the video acquired in real time are compared, the data accuracy is effectively improved, and evidence leakage caused by incorrect feedback of evidence data to law enforcement personnel can be prevented.
In addition, the invention effectively reduces the data retrieval amount, improves the data retrieval efficiency and improves the data feedback efficiency because only the abstract information is retrieved instead of video retrieval.
Also for example, law enforcement recorder 10 is a law enforcement recorder or is integrated with a law enforcement recorder. Law enforcement recorder is a forensic technical device which integrates functions of real-time video and audio recording, photographing, recording and the like, and is worn by public staff such as police officers or personnel working in authorities to perform business. The law enforcement recorder integrates the functions of shooting, photographing, intercom, positioning and storage, and can be used for carrying out dynamic and static on-site situation digital recording in the law enforcement process through wireless connection real-time video transmission such as a 4G network, so that a user can conveniently perform law enforcement in various environments.
Further preferably, each law enforcement recorder 10 has a unique identification code representing the evidence reading authority, and the law enforcement recorder 10 transmits the unique identification code representing the evidence reading authority as additional information to the server 20 in association while transmitting the video, picture and audio captured in real time to the server 20 through the wireless network.
Typically, the evidence read rights represented by the unique identification code of law enforcement recorder 10 are related to the authorities or units of law enforcement recorder 10. For example, court and police systems may have higher rights to acquire and read evidence than authorities such as metropolitan authorities.
The server 20 checks whether the evidence reading authority represented by the unique identification code in the additional information of the video evidence data to be fed back is not higher than the evidence reading authority represented by the unique identification code of the corresponding law enforcement recording device 10 before feeding back the video evidence data to the corresponding law enforcement recording device 10, and feeds back the video evidence data to the corresponding law enforcement recording device 10 only in the case where the evidence reading authority represented by the unique identification code in the additional information of the video evidence data to be fed back is not higher than the evidence reading authority represented by the unique identification code of the corresponding law enforcement recording device 10.
For example, in the case where the evidence reading authority represented by the unique identification code in the additional information of the video evidence data to be fed back is higher than the evidence reading authority represented by the unique identification code of the corresponding law enforcement recording device 10, the video evidence data is not fed back to the corresponding law enforcement recording device 10, or the authority out-of-range warning information may be fed back to the corresponding law enforcement recording device 10.
Therefore, the invention can feed back the evidence based on the evidence reading authority, thereby avoiding confidential information from being read by low-authority personnel and ensuring confidentiality and security of the evidence.
< second preferred embodiment >
All features and advantages of a system for regulatory, law enforcement big data analysis mining according to the first preferred embodiment of the present invention are applicable to this second preferred embodiment.
Fig. 2 schematically illustrates a system block diagram of a regulatory, law enforcement big data analysis mining, according to a second preferred embodiment of the invention.
As shown in fig. 2, in addition to the various elements of the first embodiment shown in fig. 1, that is, a system for supervisory, law enforcement big data analysis mining according to a second preferred embodiment of the present invention includes a plurality of law enforcement recording devices 10, a server 20, and a big database 30, a system for supervisory, law enforcement big data analysis mining according to a preferred embodiment of the present invention includes: a search device 40.
The retrieval means 40 is used for providing the server 30 with the current face photograph of the target person to be retrieved and the previous year face photograph (e.g., the face photograph ten years ago or five years ago), and providing the server 30 with the current sound information of the target person to be retrieved and the audio recording of the previous year.
Upon receiving the data from the retrieval device 40, the server 30 retrieves the first summary information of all video evidence data in the large database 30 using the current face photograph and the past year face photograph retrieval to obtain a set of video evidence data matching at least one of the current face photograph and the past year face photograph.
The server 30 then retrieves, for the second summary information, from the set of video evidence data, with the current sound information and the audio recording of the past year, obtains video evidence data matching at least one of the sound tracks of the current sound information and the audio recording of the past year, and feeds back all evidence information related to the obtained video evidence data (e.g., all text, video, picture, and audio information of the same case as the video) to the respective retrieval means 40.
Since the facial features and the sound features of a person may change over a predetermined year, the present invention proposes to provide both the face and the sound information of the past year in addition to the current face and sound information, thereby preventing missed detection of evidence.
Therefore, the invention effectively realizes a high-efficiency collaborative post-supervision law enforcement system, and can effectively acquire the past law enforcement information of the related personnel from a large database when a user retrieves the law enforcement electronic evidence, thereby realizing effective post-enforcement sharing of the law enforcement information.
In addition, as the facial information and the voiceprint information of videos of different years provided by the user are compared, the data accuracy is effectively improved, and evidence leakage caused by incorrect feedback of evidence data to law enforcement officers can be prevented.
In addition, the invention effectively reduces the data retrieval amount, improves the data retrieval efficiency and improves the data feedback efficiency because only the abstract information is retrieved instead of video retrieval.
Further, it is further preferable that each retrieval device 40 has a unique identification code indicating evidence reading authority, and the retrieval device 40 associatively transmits the unique identification code indicating evidence reading authority to the server 20 as additional information while providing the information of the target person to be retrieved to the server 30.
Typically, the evidence read rights represented by the unique identification code of the retrieval device 40 are related to the organization or entity of the retrieval device 40. For example, court and police systems may have higher rights to acquire and read evidence than authorities such as metropolitan authorities.
The server 20 checks whether the evidence reading authority represented by the unique identification code in the additional information of the video evidence data to be fed back is not higher than the evidence reading authority represented by the unique identification code of the corresponding retrieval device 40 before feeding back the video evidence data to the corresponding retrieval device 40, and feeds back the video evidence data to the corresponding retrieval device 40 only in the case where the evidence reading authority represented by the unique identification code in the additional information of the video evidence data to be fed back is not higher than the evidence reading authority represented by the unique identification code of the corresponding retrieval device 40.
For example, in the case where the evidence reading authority represented by the unique identification code in the additional information of the video evidence data to be fed back is higher than the evidence reading authority represented by the unique identification code of the corresponding retrieval device 40, the video evidence data is not fed back to the corresponding retrieval device 40, or the authority out-of-range warning information may be fed back to the corresponding retrieval device 40.
Therefore, the invention can feed back the evidence based on the evidence reading authority, thereby avoiding confidential information from being read by low-authority personnel and ensuring confidentiality and security of the evidence.
< application example >
The invention can realize evidence sharing library, based on data management platform, constructing evidence sharing library data management system, realizing evidence homology, isomorphism and unified data caliber, realizing business scene including unified evidence collection, evidence transfer, evidence retrieval, etc.
Preferably, the present invention employs two standardized unified ports (an ingress port and an egress port), in other words, there is a standardized single ingress port and a standardized single egress port between the server and the large database. The two-end service (the service of the certificate-in end and the certificate-out end) is in butt joint with various application scenes. The evidence big database ensures the storage safety of the evidence through a standard evidence management system, and forms a digital evidence asset. The evidence entering end establishes a unified evidence collecting system by defining an electronic evidence collecting standard and a collecting scene to form a standard evidence collecting end. The evidence-issuing end establishes a cross-department, cross-region and cross-layer collaboration system through clear evidence sharing standards to form a normalized evidence sharing end.
The invention can reconstruct the panoramic portrait of law enforcement object (divided into enterprise portrait, natural portrait, etc.), and re-comb and define the dimension of the portrait, providing related functions such as natural portrait inquiry, knowledge map, etc.
The invention can also be used for realizing classified management of all related business approval matters related in the processes of supervision and inspection, punishment and case handling, collaborative command, law enforcement and supervision and other business work.
In addition, the invention can also form credit supervision thematic statistical report forms: displaying the statistical dimension data of the collaborative command series according to the areas, departments, time periods, types, matters, subjects, object distribution and system application conditions; evidence sharing statistical analysis report: including overall operation statistical analysis, evidence production collection statistical analysis, evidence storage asset statistical analysis, evidence sharing collaborative statistical analysis.
It should be noted that, unless specifically stated otherwise, the terms "first," "second," "third," and the like in the specification are used merely as a distinction between various components, elements, steps, etc. in the specification, and are not used to denote a logical or sequential relationship between various components, elements, steps, etc.
It will be appreciated that although the invention has been described above in terms of preferred embodiments, the above embodiments are not intended to limit the invention. Many possible variations and modifications of the disclosed technology can be made by anyone skilled in the art without departing from the scope of the technology, or the technology can be modified to be equivalent. Therefore, any simple modification, equivalent variation and modification of the above embodiments according to the technical substance of the present invention still fall within the scope of the technical solution of the present invention.
Claims (3)
1. A system for supervision, law enforcement big data analysis mining for analyzing attribution of feedback information at frequent evidence collection, comprising: a plurality of law enforcement recording means, a server and a large database; the law enforcement recording device has the function of capturing video, pictures and audio, and sends the video, the pictures and the audio captured in real time to the server through a wireless network; the server processes the video, the picture and the audio received from the law enforcement recording device and stores the processed video, the processed picture and the processed audio into a large database as evidence data;
the server receives the video received from the law enforcement recording device, extracts facial image information from the video as first abstract information of the video, extracts voiceprint information of sound from audio as second abstract information of the video, and stores the first abstract information and the second abstract information together in a large database in association with the video as video evidence data;
moreover, the server extracts the face image information and the voiceprint information from the video and the audio, respectively, when receiving the video and the audio from the law enforcement recording device, and searches the first summary information and the second summary information of all video evidence data in the large database by using the extracted face image information and the voiceprint information, and when searching the video evidence data of which the first summary information and the second summary information are matched with the extracted face image information and the voiceprint information, respectively, feeds back all the evidence information related to the matched video evidence data stored in the large database to the corresponding law enforcement recording device, wherein the all the evidence information comprises the video currently received from the law enforcement recording device by the server and stored in the large database;
the system for supervising and enforcing big data analysis mining also comprises: a search device; the retrieval device is used for providing the current face photo and the previous year face photo of the target person to be retrieved for the server, and providing the current sound information and the previous year audio recording of the target person to be retrieved for the server;
when the server receives data from the retrieval device, retrieving first abstract information of all video evidence data in a large database by utilizing the current face photo and the previous year face photo, and acquiring a set of video evidence data matched with at least one of the current face photo and the previous year face photo;
then, the server searches for second abstract information in a set of video evidence data by utilizing the current sound information and the previous-year audio record, acquires video evidence data matched with at least one of the current sound information and the voiceprints of the previous-year audio record, and feeds back all evidence information related to the acquired video evidence data to a corresponding searching device;
when the similarity between the extracted human face image information and the first abstract information in the large database is larger than a first threshold value, judging that the extracted human face image information is matched with the first abstract information in the large database; and when the similarity between the extracted voiceprint information and the second abstract information in the large database is larger than a second threshold value, judging that the extracted voiceprint information is matched with the second abstract information in the large database;
each law enforcement recording device is provided with a unique identification code representing evidence reading authority, and the law enforcement recording device transmits the video, the picture and the audio captured in real time to the server through a wireless network and simultaneously, the unique identification code representing the evidence reading authority is transmitted to the server in an associated mode as additional information;
before feeding back the video evidence data to the corresponding law enforcement recording device, the server checks whether the evidence reading authority represented by the unique identification code in the additional information of the video evidence data to be fed back is not higher than the evidence reading authority represented by the unique identification code of the corresponding law enforcement recording device, and feeds back the video evidence data to the corresponding law enforcement recording device only when the evidence reading authority represented by the unique identification code in the additional information of the video evidence data to be fed back is not higher than the evidence reading authority represented by the unique identification code of the corresponding law enforcement recording device;
each retrieval device is provided with a unique identification code representing evidence reading authority, and the retrieval device provides information of target personnel to be retrieved to the server and simultaneously sends the unique identification code representing evidence reading authority to the server in an associated mode as additional information;
before feeding back video evidence data to the corresponding retrieval device, the server checks whether the evidence reading authority represented by the unique identification code in the additional information of the video evidence data to be fed back is not higher than the evidence reading authority represented by the unique identification code of the corresponding retrieval device, and feeds back the video evidence data to the corresponding retrieval device only when the evidence reading authority represented by the unique identification code in the additional information of the video evidence data to be fed back is not higher than the evidence reading authority represented by the unique identification code of the corresponding retrieval device.
2. The system for supervision, law enforcement big data analysis mining to analyze the attribution of feedback information at frequent forensics of claim 1, wherein there is a standardized single prover side and a standardized single prover side between the server and the big database.
3. The system for supervision, law enforcement big data analysis mining for analyzing attribution of feedback information at frequent forensics of claim 1, wherein the first summary information and the second summary information are stored in metadata of big data.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211224307.0A CN115309938B (en) | 2022-10-09 | 2022-10-09 | Method and system for monitoring and managing law enforcement big data analysis mining |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211224307.0A CN115309938B (en) | 2022-10-09 | 2022-10-09 | Method and system for monitoring and managing law enforcement big data analysis mining |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN115309938A CN115309938A (en) | 2022-11-08 |
| CN115309938B true CN115309938B (en) | 2024-04-12 |
Family
ID=83865942
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202211224307.0A Active CN115309938B (en) | 2022-10-09 | 2022-10-09 | Method and system for monitoring and managing law enforcement big data analysis mining |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115309938B (en) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115689716A (en) * | 2022-12-15 | 2023-02-03 | 浙江汇信科技有限公司 | Enterprise credit risk assessment method based on big data technology |
Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104850969A (en) * | 2015-06-15 | 2015-08-19 | 杭州诚泰科技有限公司 | Warning condition linkage management system for audio and video evidences of law enforcement instrument |
| CN105554340A (en) * | 2015-12-09 | 2016-05-04 | 深圳市华德安科技有限公司 | Image processing method and device based on law enforcement recorder |
| CN105590113A (en) * | 2015-12-16 | 2016-05-18 | 深圳市华德安科技有限公司 | Information-acquiring method based on law enforcement recorder |
| CN206117857U (en) * | 2016-10-13 | 2017-04-19 | 杭州维慕德科技有限公司 | On --spot law enforcement audio video collecting recording system |
| CN207070090U (en) * | 2017-06-13 | 2018-03-02 | 银江股份有限公司 | A kind of whole law enforcement record of panorama and acquisition management system |
| CN108805783A (en) * | 2018-07-15 | 2018-11-13 | 成都蒲江珂贤科技有限公司 | A kind of law enforcement record management system based on big data Joint construction and sharing |
| CN109117821A (en) * | 2018-08-31 | 2019-01-01 | 广东九联科技股份有限公司 | A kind of face identification system and method for law-enforcing recorder |
| CN110569720A (en) * | 2019-07-31 | 2019-12-13 | 安徽四创电子股份有限公司 | audio and video intelligent identification processing method based on audio and video processing system |
| CN111355912A (en) * | 2020-02-17 | 2020-06-30 | 江苏济楚信息技术有限公司 | Law enforcement recording method and system |
| CN111538709A (en) * | 2020-04-16 | 2020-08-14 | 东莞市益汇知识产权服务有限公司 | Intelligent management system and management method for law enforcement evidence |
| CN113762110A (en) * | 2021-08-24 | 2021-12-07 | 广州软件应用技术研究院 | Law enforcement instant evidence fixing method and law enforcement instrument |
-
2022
- 2022-10-09 CN CN202211224307.0A patent/CN115309938B/en active Active
Patent Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104850969A (en) * | 2015-06-15 | 2015-08-19 | 杭州诚泰科技有限公司 | Warning condition linkage management system for audio and video evidences of law enforcement instrument |
| CN105554340A (en) * | 2015-12-09 | 2016-05-04 | 深圳市华德安科技有限公司 | Image processing method and device based on law enforcement recorder |
| CN105590113A (en) * | 2015-12-16 | 2016-05-18 | 深圳市华德安科技有限公司 | Information-acquiring method based on law enforcement recorder |
| CN206117857U (en) * | 2016-10-13 | 2017-04-19 | 杭州维慕德科技有限公司 | On --spot law enforcement audio video collecting recording system |
| CN207070090U (en) * | 2017-06-13 | 2018-03-02 | 银江股份有限公司 | A kind of whole law enforcement record of panorama and acquisition management system |
| CN108805783A (en) * | 2018-07-15 | 2018-11-13 | 成都蒲江珂贤科技有限公司 | A kind of law enforcement record management system based on big data Joint construction and sharing |
| CN109117821A (en) * | 2018-08-31 | 2019-01-01 | 广东九联科技股份有限公司 | A kind of face identification system and method for law-enforcing recorder |
| CN110569720A (en) * | 2019-07-31 | 2019-12-13 | 安徽四创电子股份有限公司 | audio and video intelligent identification processing method based on audio and video processing system |
| CN111355912A (en) * | 2020-02-17 | 2020-06-30 | 江苏济楚信息技术有限公司 | Law enforcement recording method and system |
| CN111538709A (en) * | 2020-04-16 | 2020-08-14 | 东莞市益汇知识产权服务有限公司 | Intelligent management system and management method for law enforcement evidence |
| CN113762110A (en) * | 2021-08-24 | 2021-12-07 | 广州软件应用技术研究院 | Law enforcement instant evidence fixing method and law enforcement instrument |
Also Published As
| Publication number | Publication date |
|---|---|
| CN115309938A (en) | 2022-11-08 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US10862744B2 (en) | Correlation system for correlating sensory events and legacy system events | |
| US9619984B2 (en) | Systems and methods for correlating data from IP sensor networks for security, safety, and business productivity applications | |
| US20170277700A1 (en) | Method for Incident Video and Audio Association | |
| US7999847B2 (en) | Audio-video tip analysis, storage, and alerting system for safety, security, and business productivity | |
| US20210357624A1 (en) | Information processing method and device, and storage medium | |
| CN115309938B (en) | Method and system for monitoring and managing law enforcement big data analysis mining | |
| CN107592503A (en) | Audio-video collection management system of enforcing the law and management method | |
| Gerrard et al. | National CCTV strategy | |
| CN111064928A (en) | Video monitoring system with face recognition function | |
| CN110580300A (en) | Suspicious target automatic query method based on face recognition system case issue location | |
| CN108965285B (en) | Open cascade shared law enforcement evidence management platform | |
| CN109120896B (en) | Security video monitoring guard system | |
| CN115471921B (en) | Laboratory attendance evaluation management system and method | |
| CN116208633A (en) | Artificial intelligence service platform system, method, equipment and medium | |
| CN116483810A (en) | Data management method based on public security big data processing technical guidelines | |
| AU2017245284A1 (en) | A Method and System for Generating a Report | |
| JP4151517B2 (en) | Personal action record storage method, personal action record storage system, and program and recording medium for realizing the system | |
| CN111343417A (en) | Monitoring system for kindergarten student supervision | |
| CN112652107A (en) | Entry-exit security inspection system | |
| CN115689716A (en) | Enterprise credit risk assessment method based on big data technology | |
| Ferryman | Video surveillance standardisation activities, process and roadmap | |
| CN116681474A (en) | Residence rate statistical method based on human head detection | |
| DEPARTMENT OF HOMELAND SECURITY WASHINGTON DC | Crowd Count and Analysis (CCA) | |
| CN116362448A (en) | Engineering management sharing platform and method | |
| CN115878845A (en) | Time-lapse optical reduction system and method applied to monitoring video of computer room |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |