CN111263126A - Video intelligent identification and information push precaution management system - Google Patents

Video intelligent identification and information push precaution management system Download PDF

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CN111263126A
CN111263126A CN202010241727.4A CN202010241727A CN111263126A CN 111263126 A CN111263126 A CN 111263126A CN 202010241727 A CN202010241727 A CN 202010241727A CN 111263126 A CN111263126 A CN 111263126A
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陈小河
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N7/00—Television systems
    • H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
    • H04N7/181—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast for receiving images from a plurality of remote sources
    • 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
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    • 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
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    • 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
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90—Details of database functions independent of the retrieved data types
    • G06F16/95—Retrieval from the web
    • G06F16/953—Querying, e.g. by the use of web search engines
    • G06F16/9535—Search customisation based on user profiles and personalisation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/10—Services
    • G06Q50/26—Government or public services
    • G06Q50/265—Personal security, identity or safety
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/50—Context or environment of the image
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    • G08—SIGNALLING
    • G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B19/00—Alarms responsive to two or more different undesired or abnormal conditions, e.g. burglary and fire, abnormal temperature and abnormal rate of flow
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    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/01—Protocols
    • H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/50—Network services
    • H04L67/55—Push-based network services

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Abstract

The invention relates to the technical field of public security video identification precaution management, and discloses a video intelligent identification and information push precaution management system, which comprises an IP camera and a mobile camera; the system comprises a video edge calculation intelligent identification terminal, a cloud server and an information receiving terminal; the intelligent video edge calculation identification terminal obtains video stream data of an IP camera (mobile camera) through a local area network, the intelligent video edge calculation identification terminal is connected with a cloud server through the local area network, and an information push engine module pushes the video stream data to an information receiving terminal of a pushed object through the transmission modes of WeChat, short message and APP. The invention realizes classification, real-time early warning and linkage of public safety hidden dangers through classification confirmation, classification early warning, intelligent propaganda and department linkage (such as police and people linkage) and the like of identity, action, emotion and the like in a certain area by using the identity recognition technology such as video intelligent recognition and the like, and provides a new direction for exploring a basic level treatment mode of 'co-construction and co-treatment sharing'.

Description

Video intelligent identification and information push precaution management system
Technical Field
The invention relates to the technical field of public security video identification precaution management, in particular to a video intelligent identification and information push precaution management system.
Background
In recent years, personal and property safety problems in special places such as communities and schools have become more serious, and the life and property safety of people in the area is seriously affected, so that the safety problems in the special places are more and more concerned by people.
In order to solve the above problems, security departments in various areas take necessary precautions, such as: the electronic dog is required to perform whole-body inspection, real-name registration, patrol strength enhancement in a garden, linkage of police and people and the like when entering a region, and the measures can achieve the purpose of safety precaution to a certain extent, but have the following defects: (1) the timeliness is poor: real-time linkage and real-time early warning cannot be realized; (2) the interactivity is poor: the rapid diffusion of the message cannot be realized, and the interaction with different crowds cannot be realized; (3) the regional linkage is poor: each area is in a closed state, and group prevention and group control and joint defense linkage are difficult to realize.
Disclosure of Invention
Aiming at the defects in the prior art, the invention aims to provide a video intelligent identification and information push prevention management system.
In order to solve the technical problem, the invention is realized by the following scheme: a video intelligent identification and information push precaution management system comprises an IP camera (including a mobile camera), a video edge calculation intelligent identification terminal, a cloud server and an information receiving terminal;
the intelligent video edge calculation identification terminal is used for acquiring real-time video stream data of an IP camera (including a mobile camera), identifying character characteristics and vehicle characteristic information in the video stream and loading real-time environment information;
the cloud server comprises a character basic file feature library and an information pushing engine module, wherein the character basic file feature library is used for storing character basic file information and allowing a video edge computing intelligent identification terminal to identify and compare the character basic file information, the information pushing engine module is used for receiving character feature information identified by the video edge computing intelligent identification terminal and loaded real-time environment information, and pushing information is generated after comprehensive analysis processing;
the information receiving terminal is used for receiving the push information of the information push engine module and feeding back the push information in time to achieve precaution management.
Further, the character feature information includes character facial feature information, character expression information, character action information, and the like, and the environment information is time, place information, and the like of the character or the vehicle.
Further, the video edge calculation intelligent identification terminal acquires video stream data of the IP camera through a local area network, and maximally supports simultaneous processing of 4-channel cameras; the video edge computing intelligent identification terminal is connected with the cloud server through a local area network; and the information pushing engine module pushes the information to an information receiving terminal of a pushing object through the transmission modes of WeChat, short message and APP.
Further, the push information includes publicity information, early warning information, prejudgment information, joint defense linkage information and the like which are set in advance according to needs.
Further, the figure basic file information in the figure basic file feature library is manually input and self-defined to be grouped, wherein the figure basic file information comprises figure feature information, figure photos and figure file information, and the figure file information comprises names, sexes, ages, identity card numbers, whether the person is a key monitoring person, whether a pre-crime department exists, a contact call and the like; the user-defined personnel group comprises but is not limited to a key monitoring group, a pre-criminal department group, an escape or wanted group, a winding visit and alarming visit group, a common resident group, a district policeman group, a community management group, a property management group and the like.
Furthermore, the video edge calculation intelligent recognition terminal acquires and recognizes the character features in the IP camera (including the mobile camera), acquires, compares and combines character basic file information in the character basic file feature library to output a refined character feature portrait, and simultaneously supplements and merges the character feature recognition result into the original character basic file feature library through a machine learning algorithm.
Furthermore, the management system is regional management, and realizes the fine management of different regions by arranging IP cameras (including mobile cameras) and video edge calculation intelligent identification terminals in different regions and performing position mark management; the areas include but are not limited to living quarters, enterprise factories, office buildings, schools, supermarkets.
Compared with the prior art, the invention has the beneficial effects that: the system analyzes and generates the system propaganda information, the early warning information, the pre-judging information and the joint defense linkage information through the video intelligent recognition technology and pushes the information to multiple persons (simultaneously to multiple persons), the related work requirement and the risk (hidden danger) early warning information are transmitted to related persons (law enforcement, management personnel and the like) in time, the real-time communication among the related persons and the real-time linkage among related measures are realized, the effects of group prevention and mass control and joint defense linkage are greatly realized through the quick and accurate transmission of the information and the real-time information, measure synchronization and risk prevention and control feedback of various group defense forces, and effective basis is provided for further protecting the personal and property safety.
Drawings
FIG. 1 is a schematic view of a video intelligent recognition and information push prevention management system according to the present invention;
FIG. 2 is a schematic diagram of an acquisition process of the intelligent identification terminal for video edge calculation according to the present invention;
FIG. 3 is a schematic diagram of information push of an information push engine module according to the present invention;
fig. 4 is a schematic diagram illustrating an information pushing principle of the information pushing engine module according to the present invention.
Detailed Description
The preferred embodiments of the present invention will be described in detail below with reference to the accompanying drawings so that the advantages and features of the invention can be more readily understood by those skilled in the art, and the scope of the invention will be more clearly and clearly defined.
Example 1
Referring to fig. 1, the video intelligent identification and information push precaution management system of the invention comprises an IP camera (including a mobile camera), wherein the IP camera is installed at an important gate such as an entrance and an exit, and the system further comprises a video edge calculation intelligent identification terminal, a cloud server and an information receiving terminal; the management system is regional management, and realizes the fine management of different areas by arranging IP cameras (or by mobile monitoring and patrolling), calculating the video edge, intelligently identifying the terminal and managing the position mark in different areas; the present embodiment is described by taking a multi-active living cell as an example.
The video edge calculation intelligent identification terminal adopts an edge calculation mode, acquires an intelligent calculation chip and deploys the intelligent calculation chip on a microcomputer or a personal computer, and is used for acquiring real-time video stream data of an IP camera (including a mobile camera), identifying character characteristics and vehicle characteristic information in the video stream and loading real-time environment information;
the cloud server comprises a character basic file feature library and an information pushing engine module, the character basic file feature library is used for storing character basic file information and allowing a video edge computing intelligent identification terminal to identify and compare the character basic file information, the information pushing engine module is used for receiving character feature information identified by the video edge computing intelligent identification terminal and loaded real-time environment information, and pushing information is generated after comprehensive analysis processing (the pushing information comprises propaganda information, early warning information, prejudgment information, joint defense linkage information and the like);
the information receiving terminal is used for receiving the push information of the information push engine module and feeding back the push information in time to realize precaution management.
In a preferred embodiment of the present invention, the character feature information includes character facial feature information, character expression information, character motion information, and the environment information is information on the time and place of the character or vehicle.
In the preferred embodiment of the invention, a video edge calculation intelligent recognition terminal acquires video stream data of an IP camera (including a mobile camera) through a local area network, the video stream is processed by capturing video frame image data, the character characteristic information and the vehicle information in the image are recognized through image data processing, the characteristic information is extracted, the extracted information is subjected to secondary processing, the character characteristic (including character wearing, character age, gender, whether a mask is worn, whether glasses are worn and other characteristic information) and the vehicle characteristic are extracted, and the video edge calculation intelligent recognition terminal supports 4-channel cameras to process at the maximum;
the video edge calculation intelligent identification terminal is connected with the cloud server through a local area network; the information pushing engine module pushes the information to an information receiving terminal of a pushing object through a transmission mode of WeChat, short message and APP.
In the preferred embodiment of the invention, the basic figure file information in the basic figure file feature library is manually input and self-defined to be grouped, wherein the basic figure file information comprises the feature information of a figure, a figure photo and figure file information, and the figure file information comprises the name, the sex, the age, the identity card number, whether the person is a key monitoring person, whether the person has a pre-criminal department, a contact telephone and the like; taking a living community as an example, the user-defined personnel are divided into a key monitoring group, a pre-criminal department group, an escape or wanted group, a winding visit and busy visit group, a common resident group, a district policeman group, a community management group and a property management group in groups, and the same personnel can belong to a plurality of groups (if the personnel A belongs to both the residents in the community and the policeman in the district), so that more flexible personnel management is realized.
Referring to the attached drawing 2, fig. 2 is a schematic diagram of the acquisition process of the video edge calculation intelligent identification terminal of the invention, the video edge calculation intelligent identification terminal acquires and identifies the character features of the characters in the IP camera, and simultaneously acquires, compares and combines character basic file information in the character basic file feature library to output a refined character feature portrait, and simultaneously supplements and incorporates the character feature identification result into the original character basic file feature library (i.e. accurate acquisition) through a machine learning algorithm.
Referring to fig. 3, fig. 3 is a schematic diagram of information pushing of an information pushing engine module according to the present invention, where the information pushing engine module calculates character feature information and loaded environment information identified by an intelligent identification terminal according to a video edge, respectively generates propaganda information, early warning information, anticipation information and joint defense linkage information, and pushes the information to a pushing object through information channels such as WeChat, short message and APP, and the pushing object can feed back information through an information feedback channel to implement group defense and group control.
Example 2
Due to the difference of the push information type and the information receiving object, the information push of the invention needs to meet the scenes of multi-condition, multi-dimension, multi-scene and multi-application, and aiming at the continuously changing factors, a flexible rule engine needs to be adopted to realize the intelligent push of the information. Referring to fig. 4, the information push engine module of the present invention implements accurate push of information through the following 5 processes: (1) creating an initial rule; (2) identifying character characteristic information and environment information; (3) sorting and classifying the identified figure characteristic information and time and place environment information, and constructing a rule base aiming at different information modules; (4) analyzing and processing according to the recognized character characteristics, time and place environment information; (5) and pushing the analysis result to multiple directions (multiple persons simultaneously) according to the crowd and the information type.
The rule base construction principle of the 4 different types of information modules of the invention is as follows:
1. accurate propaganda management: according to the propaganda and precaution requirements of different areas/mechanisms or the requirements of identification objects on safety, law and other knowledge and common knowledge, various law, safety and other information modules are constructed in a classified manner, and according to the differences of occupations, sexes, work posts and the like of the objects, when the work such as propaganda, reminding, notification, announcement and the like is required, information is pushed to the identification objects in real time in a targeted manner, so that accurate propaganda is realized.
2. Accurate early warning management: according to the characteristic picture of the identified personnel, the public safety risk coefficient of the personnel, the character characteristics (violence, strangeness and the like), the experience (especially whether the personnel is escaping or wanted, whether the prior department exists, whether the personnel is giving an alarm for many times or has a winding visit and an alarming visit and the like), the body temperature, the feelings (tension, anger, pain and the like) and other identity characteristics and physiological characteristics are constructed, and the early warning information is pushed to the identified personnel or related management personnel (group prevention and treatment personnel in district policemen, community management personnel, property management and the like) by combining the public safety management and law enforcement work requirements (such as daily propaganda, patrol inspection, key control, field maintenance, investigation and case handling) and the like, so that accurate early warning is realized.
3. Accurate prejudgment management: after the system obtains a relatively accurate identification result, the system pushes position information, destination information, behavior trend prejudgment information, information of a simulated carried object, risk and hazard characteristic information, safety prompt, an operation guide, law enforcement guide information and the like to relevant personnel in a targeted manner so as to realize the preknowledge of the relevant personnel (law enforcement, managers and the like) on the risk and the hazard, the prejudgment capability and the handling strategy, and further adopts a relatively accurate and effective handling scheme.
4. Joint defense linkage management: through the system early warning information, the pre-judgment information is pushed to multiple persons in real time and in multiple directions (simultaneously), the relevant work requirement and risk (hidden danger) early warning information are transmitted to relevant personnel (law enforcement, management personnel and the like) in time, and real-time communication among the relevant personnel and real-time linkage among relevant measures are realized. Through the quick and accurate transmission of information, and through the real-time information and measure synchronization of various group prevention forces and risk prevention and control feedback, the group prevention and control and joint defense linkage are further realized.
According to the invention, by adopting the identity recognition technologies such as video intelligent recognition and the like, classification confirmation, classification early warning, intelligent propaganda and linkage of identities, behaviors and the like are carried out in a certain area, classification, real-time early warning and linkage of public safety hidden dangers are realized, and a new direction is provided for exploring a basic level treatment mode of 'co-construction and co-treatment sharing'.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.

Claims (7)

1. The utility model provides a video intelligent recognition takes precautions against management system with information push, includes the IP camera (including moving the camera), its characterized in that: the system also comprises a video edge calculation intelligent identification terminal, a cloud server and an information receiving terminal;
the video edge calculation intelligent identification terminal is used for acquiring real-time video stream data of the IP camera, identifying various characteristics of people and vehicle characteristic information in the video stream and loading real-time environment information;
the cloud server comprises a character basic file feature library and an information pushing engine module, wherein the character basic file feature library is used for storing character basic file information and allowing a video edge computing intelligent identification terminal to identify and compare the character basic file information, the information pushing engine module is used for receiving character feature information identified by the video edge computing intelligent identification terminal and loaded real-time environment information, and pushing information is generated after comprehensive analysis processing;
the information receiving terminal is used for receiving the push information of the information push engine module and feeding back the push information in time to achieve precaution management.
2. The system for intelligent video identification and information push precaution management according to claim 1, wherein: the character feature information comprises character facial feature information, character expression information and character action information, and the environment information is information of the time and the place of the character or the vehicle.
3. The system for intelligent video identification and information push precaution management according to claim 1, wherein: the video edge calculation intelligent identification terminal acquires video stream data of the IP camera through a local area network and supports simultaneous processing of 4-channel cameras to the maximum extent; the video edge computing intelligent identification terminal is connected with the cloud server through a local area network; and the information pushing engine module pushes the information to an information receiving terminal of a pushing object through the transmission modes of WeChat, short message and APP.
4. The system for intelligent video identification and information push precaution management according to claim 1, wherein: the push information comprises propaganda information, early warning information, prejudgment information and joint defense linkage information.
5. The system for intelligent video identification and information push precaution management according to claim 1, wherein: the figure basic file information in the figure basic file feature library is manually input and self-defined to be grouped, wherein the figure basic file information comprises figure feature information, figure photos and figure file information, and the figure file information comprises name, gender, age, identity card number, whether the person is a key monitoring person, whether the person is a pre-criminal department, a contact phone number and the like; the user-defined personnel group comprises but is not limited to a key monitoring group, a pre-criminal department group, an escape or wanted group, a winding visit and alarming visit group, a common resident group, a district policeman group, a community management group, a property management group and the like.
6. The system for intelligent video identification and information push precaution management according to claim 1, wherein: the video edge calculation intelligent identification terminal acquires and identifies the character features in the IP camera, acquires, compares and combines character basic file information in the character basic file feature library to output a refined character feature portrait, and simultaneously supplements and merges character feature identification results into an original character basic file feature library through a machine learning algorithm.
7. The system for intelligent video identification and information push precaution management according to claim 1, wherein: the management system is regional management, and realizes the fine management of different areas by arranging IP cameras (or utilizing mobile monitoring equipment to patrol), calculating the video edge, intelligently identifying the terminal and managing the position mark in different areas; the areas include but are not limited to living quarters, enterprise factories, office buildings, schools, supermarkets.
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Application publication date: 20200609