CN116962768A - Identification and evidence-storing characteristic marking system based on video AI algorithm - Google Patents

Identification and evidence-storing characteristic marking system based on video AI algorithm Download PDF

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Publication number
CN116962768A
CN116962768A CN202310726502.1A CN202310726502A CN116962768A CN 116962768 A CN116962768 A CN 116962768A CN 202310726502 A CN202310726502 A CN 202310726502A CN 116962768 A CN116962768 A CN 116962768A
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Prior art keywords
video
law enforcement
audio
identification
algorithm
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Chinese (zh)
Inventor
邵敏强
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Nanjing Chilang Technology Co ltd
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Nanjing Chilang Technology Co ltd
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Priority to CN202310726502.1A priority Critical patent/CN116962768A/en
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/41—Structure of client; Structure of client peripherals
    • H04N21/422—Input-only peripherals, i.e. input devices connected to specially adapted client devices, e.g. global positioning system [GPS]
    • H04N21/42203—Input-only peripherals, i.e. input devices connected to specially adapted client devices, e.g. global positioning system [GPS] sound input device, e.g. microphone
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/41—Structure of client; Structure of client peripherals
    • H04N21/418—External card to be used in combination with the client device, e.g. for conditional access
    • H04N21/4184—External card to be used in combination with the client device, e.g. for conditional access providing storage capabilities, e.g. memory stick
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/41—Structure of client; Structure of client peripherals
    • H04N21/422—Input-only peripherals, i.e. input devices connected to specially adapted client devices, e.g. global positioning system [GPS]
    • H04N21/4223—Cameras
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
    • H04N21/4302—Content synchronisation processes, e.g. decoder synchronisation
    • H04N21/4307—Synchronising the rendering of multiple content streams or additional data on devices, e.g. synchronisation of audio on a mobile phone with the video output on the TV screen
    • H04N21/43072—Synchronising the rendering of multiple content streams or additional data on devices, e.g. synchronisation of audio on a mobile phone with the video output on the TV screen of multiple content streams on the same device
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
    • H04N21/44—Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream or rendering scenes according to encoded video stream scene graphs
    • H04N21/44008—Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream or rendering scenes according to encoded video stream scene graphs involving operations for analysing video streams, e.g. detecting features or characteristics in the video stream
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
    • H04N21/44—Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream or rendering scenes according to encoded video stream scene graphs
    • H04N21/4408—Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream or rendering scenes according to encoded video stream scene graphs involving video stream encryption, e.g. re-encrypting a decrypted video stream for redistribution in a home network
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/45—Management operations performed by the client for facilitating the reception of or the interaction with the content or administrating data related to the end-user or to the client device itself, e.g. learning user preferences for recommending movies, resolving scheduling conflicts
    • H04N21/466—Learning process for intelligent management, e.g. learning user preferences for recommending movies
    • H04N21/4662—Learning process for intelligent management, e.g. learning user preferences for recommending movies characterized by learning algorithms
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/80—Generation or processing of content or additional data by content creator independently of the distribution process; Content per se
    • H04N21/83—Generation or processing of protective or descriptive data associated with content; Content structuring
    • H04N21/835—Generation of protective data, e.g. certificates
    • H04N21/8358—Generation of protective data, e.g. certificates involving watermark

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  • Engineering & Computer Science (AREA)
  • Multimedia (AREA)
  • Signal Processing (AREA)
  • Databases & Information Systems (AREA)
  • Computer Security & Cryptography (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The invention discloses a video AI algorithm-based identification evidence-storing characteristic marking system, which comprises a law enforcement recorder, an acquisition workstation and an administrative law enforcement whole process record comprehensive information management platform. The invention has three main functions, namely, the two-dimensional code identification is successful, the recorded audio and video files are uniquely associated with a user, the audio and video files are subjected to audio and video feature analysis, the uploaded audio and video files are managed, edited and counted, the association between the audio and video files and a photographer is identified and recorded, the uploaded audio and video files are subjected to functions of watermarking, video encryption and the like, the video is further associated with the unique feature mark, and the authenticity, the searchability, the uniqueness and the convenience of the law enforcement process are ensured.

Description

Identification and evidence-storing characteristic marking system based on video AI algorithm
Technical Field
The invention relates to the technical field of law enforcement data processing, in particular to a characteristic marking system for identifying and storing evidence based on a video AI algorithm.
Background
The law enforcement recorder is also called a single police law enforcement video and audio recorder, is like a smart phone, has an independent system and an independent running space, provides a software solution on the premise of guaranteeing the safety of law enforcement information, solves the problem of fixed focus shooting of the common law enforcement recorder, and shoots a law enforcement site photo. That is, the law enforcement recorder is also called an on-site law enforcement recorder, integrates functions of digital photographing, pickup and the like, can digitally record dynamic and static on-site conditions in the law enforcement process, and is convenient for police to perform law enforcement in various environments. Video and photo files collected by law enforcement recorders generally only provide simple previews, and law enforcement personnel need to screen and search one by one in massive audio and video files for a large amount of information existing in video files and photo files generated by evidence obtaining, so that the use is very inconvenient.
Disclosure of Invention
The invention aims to provide a video AI algorithm-based identification evidence-storing characteristic marking system, which can correlate videos with unique characteristic marks, ensure authenticity, searchability, uniqueness and convenience of a law enforcement process and solve the problems in the background technology.
In order to achieve the above purpose, the present invention provides the following technical solutions:
a characteristic marking system for identifying evidence storage based on a video AI algorithm comprises a law enforcement recorder, an acquisition workstation and an administrative law enforcement whole process record comprehensive information management platform.
As the video AI algorithm-based identification and certification characteristic marking system, the law enforcement recorder is preferably provided with a shooting device and a microphone, and further comprises a two-dimension code identification unit, a user generates a two-dimension code and then scans the two-dimension code by using the law enforcement recorder, and after successful identification, recorded audio and video files are uniquely associated with the user.
As the video AI algorithm-based identification and certification feature marking system is preferable, the acquisition workstation has the functions of data import and equipment charging and can support simultaneous connection of a plurality of pieces of equipment; the acquisition workstation is provided with a liquid crystal screen, and can display connection state, charging state and transmission condition when being connected with the law enforcement recorder through a USB line.
As the video AI algorithm-based identification evidence-storing characteristic marking system is preferable, the administrative law enforcement whole process record comprehensive information management platform is provided with an audio and video characteristic analysis and identification unit and an audio and video file processing unit; the administrative law enforcement whole process recording comprehensive information management platform is connected with the acquisition workstation by a wired/wireless network or 4G/5G, and is used for managing, editing and counting the uploaded audio and video files and identifying and recording the relevance between the audio and video files and photographers.
Compared with the prior art, the invention has the beneficial effects that:
the invention has three main functions, namely, the two-dimensional code identification is successful, the recorded audio and video files are uniquely associated with a user, the audio and video files are subjected to audio and video feature analysis, the uploaded audio and video files are managed, edited and counted, the association between the audio and video files and a photographer is identified and recorded, the uploaded audio and video files are subjected to functions of watermarking, video encryption and the like, the video is further associated with the unique feature mark, and the authenticity, the searchability, the uniqueness and the convenience of the law enforcement process are ensured.
Drawings
FIG. 1 is a logical topology of a system and method of use of the present invention;
FIG. 2 is a schematic flow chart of managing an uploaded audio/video file by the administrative law enforcement whole process recording comprehensive information management platform;
FIG. 3 is a schematic flow chart of a method for implementing the static anti-counterfeiting two-dimensional code;
fig. 4 is a flow chart of a method for implementing the static anti-counterfeiting two-dimensional code.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Thus, the following detailed description of the embodiments of the invention, as presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, based on the embodiments of the invention, which are apparent to those of ordinary skill in the art without inventive faculty, are intended to be within the scope of the invention.
Example 1
Referring to fig. 1, the present invention provides a video AI algorithm-based identification and certification feature labeling system, which includes:
the law enforcement recorder is provided with a shooting device and a microphone, and further comprises a two-dimension code identification unit, a user generates a two-dimension code and then scans the two-dimension code by the law enforcement recorder, and after successful identification, recorded audio and video files are uniquely associated with the user.
The collecting workstation has the functions of data import and equipment charging and can support simultaneous connection of a plurality of pieces of equipment; the acquisition workstation is provided with a liquid crystal screen, and can display connection state, charging state and transmission condition when being connected with the law enforcement recorder through a USB line.
The acquisition workstation is responsible for realizing safe, complete and reliable data of the law enforcement recorder and high-efficient importing of the data from the law enforcement recorder into the system. The collection workstation is not independently deployed, only functions of importing, storing, charging equipment and the like are realized, and the storage and use requirements of data within 2TB can be met;
the basic functions of the acquisition workstation include:
uploading data: support not less than 12 law enforcement recorder devices simultaneously connected to the collection workstation and displaying the current device status, support 12 devices simultaneously copying law enforcement materials and operation logs and transmitting to the collection workstation (total transmission speed per 5 devices: 17M/S). The method can automatically generate log files according to all information related to audio and video in the law enforcement recorder and synchronize with a central application management platform in real time (synchronous shooting start time, synchronous shooting end time, synchronous uploading time, synchronous video size, synchronous video length, synchronous file name, synchronous file path, synchronous personnel information eight law enforcement file data and synchronous law enforcement recorder operation log);
and (3) timing: the acquisition workstation and a background system computer PC end synchronously follow a clock in real time, and when the law enforcement recorder terminal is connected to the acquisition workstation, the acquisition workstation automatically corrects the time of the law enforcement recorder terminal;
information display: displaying law enforcement recorder information (copy state, memory capacity, name, equipment ID, affiliated units and personnel ID) in connection on a liquid crystal screen of an acquisition workstation;
and (3) data security control: the self-help acquisition client software can automatically run along with the system, and shields all external operations such as a keyboard, a mouse and the like, so that the maximum possible data security is achieved.
The acquisition workstation is a special data acquisition device, and has the following characteristics in key import characteristics:
1) Unattended, 7X24 hours of continuous work;
2) Automatically detecting and connecting a law enforcement whole process recorder;
3) The concurrency supports 12 paths of simultaneous importing, and the total bandwidth reaches 480Mbps;
4) Automatically importing after connection, automatically charging equipment and automatically timing;
5) The function of introducing breakpoint continuous transmission is supported, and a law enforcement instrument can be plugged in and pulled out at any time;
6) Prompting states such as equipment connection, import process and completion;
7) After the importing is finished, automatically clearing imported data of the recorder;
8) Automatically classifying and storing according to the law enforcement instrument number and personnel number;
9) The 12 devices are independently divided into compartments, so that mistakes are effectively prevented;
10 Person and device binding.
The system comprises an administrative law enforcement whole process recording comprehensive information management platform and a computer PC (personal computer) end, wherein the computer PC end is used for operating the administrative law enforcement whole process recording comprehensive information management platform, and the administrative law enforcement whole process recording comprehensive information management platform is provided with an audio and video characteristic analysis and identification unit used for analyzing audio and video characteristics and an audio and video file processing unit used for processing audio and video files; the administrative law enforcement whole process recording comprehensive information management platform is connected with the acquisition workstation by a wired/wireless network or 4G/5G, and is used for managing, editing and counting the uploaded audio and video files and identifying and recording the relevance of the audio and video files and photographers; the computer PC end and the administrative law enforcement whole process recording comprehensive information management platform are connected through a wired/wireless network or 4G/5G, and the computer PC end is used for carrying out watermark superposition, encryption and authorization on the uploaded audio/video files.
After the data of all law enforcement recorders are collected by the collecting work station, all the data are uploaded to the administrative law enforcement whole process recording comprehensive information management platform, and the collecting work station does not store any data locally. The management system of the law enforcement whole process recorder adopts a mode of centralized data storage, namely management of uploading data, editing, statistics, log and the like, and the functions of watermarking, encryption and the like are realized when the integrated information management platform is called by the administrative law enforcement whole process recording integrated information management platform.
Example 2
Referring to fig. 2, the difference from embodiment 1 is that:
the management of the uploaded audio and video files by the administrative law enforcement whole process record comprehensive information management platform comprises the following steps:
s301, temporarily storing an audio and video file uploaded to an administrative law enforcement whole process record comprehensive information management platform;
s302, classifying the temporarily stored audio and video files;
s3021, judging whether the audio and video file has basic information, if yes, switching to S3022, otherwise, switching to S3023;
s3022, outputting a pre-judgment weight according to the basic information, and jumping to S3024;
s3023, carrying out Fourier transformation on the file content to convert the file content into a frequency change dimension, and sampling the file content with twice the change frequency to serve as a characteristic value;
s3024, regularizing and normalizing the pre-judgment weight value output by the S3022 and the characteristic value obtained by the S3023;
the regularization normalization processing specifically comprises:
let the sample size be n and the m-dimensional feature of the ith sample be expressed as
The mean value and variance of x are mu and sigma respectively 2 ；
The normalized x' is expressed as:
wherein the method comprises the steps of
S3025, training and classifying by adopting an SVM model;
s303, auditing the classified audio and video files;
s304, storing the audited audio and video files by the administrative law enforcement whole process record comprehensive information management platform.
Example 3
Referring to fig. 3 and 4, the difference from embodiment 1 is that:
the identification and evidence-preserving characteristic marking system based on the video AI algorithm further comprises:
the WEB management end is connected with the administrative law enforcement whole process recording comprehensive information management platform by a wired/wireless network or 4G/5G, and is used for terminal management, information management and two-dimensional code modification.
The system comprises a background application service system and a service system client PC for operating the background application service system, wherein the background application service system and the administrative law enforcement whole process recording comprehensive information management platform are connected through a wired/wireless network or 4G/5G, and the background application service system is used for receiving an audio and video file sent by the administrative law enforcement whole process recording comprehensive information management platform, generating a user two-dimension code and sending the user two-dimension code to a mobile phone APP of a mobile phone terminal.
The two-dimension code of the user is generated by two anti-counterfeiting methods:
(1) The user two-dimension code generated by the background application service system is a dynamic anti-counterfeiting two-dimension code;
the method for realizing the dynamic anti-counterfeiting two-dimensional code comprises the following steps:
s101, generating a static two-dimensional code: the background application business system generates a two-dimensional code according to a rule and sends the two-dimensional code to a mobile phone APP at a mobile phone end, wherein the two-dimensional code comprises a static two-dimensional code graph which is used for providing a two-dimensional code identification unit on a law enforcement recorder for scanning identification;
s102, acquiring the state of a mobile phone terminal: acquiring the current placement state of the mobile phone terminal, including the inclination and the inclination direction;
s103, static two-dimensional code graphic transformation: according to the current state of the mobile phone terminal, carrying out dynamic transformation processing on a part of designated areas of the static two-dimensional code graph;
s104, specific states can be scanned: when the mobile phone terminal is in a specific specified placement state, the static two-dimensional code pattern is restored to a normal and complete scannable identification pattern.
(2) The user two-dimension code generated by the background application service system is a static anti-counterfeiting two-dimension code;
the method for realizing the static anti-counterfeiting two-dimensional code comprises the following steps:
s201, acquiring a sample image of a two-dimensional code;
s202, extracting edge roughness feature vectors of sample images of the two-dimensional code;
s203, acquiring an anti-counterfeiting two-dimensional code image to be detected;
s204, extracting edge roughness feature vectors of the two-dimensional code image to be detected;
s205, performing feature comparison and identification, and determining the true and false similarity of the two-dimensional code to be detected;
firstly, carrying out normalization processing on edge roughness feature vectors of sample two-dimensional code patterns and edge roughness feature vectors of two-dimensional code patterns to be detected, and then calculating Euclidean distance between the edge roughness feature vectors, wherein the Euclidean distance formula is as follows:
wherein x is i I=1, 2,3, …, n is the edge roughness feature vector of the sample two-dimensional code pattern after normalization processing; y is i I=1, 2,3, …, n is an edge roughness feature vector of the two-dimensional code pattern to be measured after normalization processing;
the final similarity value calculation formula is represented by the following formula:
the calculated similarity value can be written into a percentage form to directly express the similarity degree, namely the fidelity, of the object to be detected and the original object, and the true or false judgment result can be directly given through threshold comparison.
In summary, the method has three main functions, namely, the method has the advantages that firstly, the two-dimensional code is identified, the recorded audio and video files are uniquely associated with a user after the identification is successful, secondly, the method has the audio and video characteristic analysis and audio and video files, thirdly, the uploaded audio and video files are managed, edited and counted, the association between the audio and video files and a photographer is identified and recorded, the uploaded audio and video files are subjected to functions of watermarking, video encryption and the like, the video is associated with the unique characteristic mark, and the authenticity, the traceability, the uniqueness and the convenience of the law enforcement process are ensured.
Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.

Claims (4)

1. The video AI algorithm-based identification evidence-storing characteristic marking system is characterized by comprising a law enforcement recorder, an acquisition workstation and an administrative law enforcement whole-process record comprehensive information management platform.
2. The video AI-algorithm-based identification of a certification feature tag system of claim 1, wherein: the law enforcement recorder is provided with a shooting device and a microphone, and further comprises a two-dimension code identification unit, a user generates a two-dimension code and then scans the two-dimension code by the law enforcement recorder, and after successful identification, recorded audio and video files are uniquely associated with the user.
3. The video AI-algorithm-based identification of a certification feature tag system of claim 2, wherein: the acquisition workstation has the functions of data import and equipment charging, and can support simultaneous connection of a plurality of pieces of equipment; the acquisition workstation is provided with a liquid crystal screen, and can display connection state, charging state and transmission condition when being connected with the law enforcement recorder through a USB line.
4. The video AI-algorithm-based identification of a certification feature tag system of claim 3, wherein: the administrative law enforcement whole process record comprehensive information management platform is provided with an audio and video characteristic analysis and identification unit and an audio and video file processing unit; the administrative law enforcement whole process recording comprehensive information management platform is connected with the acquisition workstation by a wired/wireless network or 4G/5G, and is used for managing, editing and counting the uploaded audio and video files and identifying and recording the relevance between the audio and video files and photographers.
CN202310726502.1A 2023-06-19 2023-06-19 Identification and evidence-storing characteristic marking system based on video AI algorithm Pending CN116962768A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202310726502.1A CN116962768A (en) 2023-06-19 2023-06-19 Identification and evidence-storing characteristic marking system based on video AI algorithm

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202310726502.1A CN116962768A (en) 2023-06-19 2023-06-19 Identification and evidence-storing characteristic marking system based on video AI algorithm

Publications (1)

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