Nowadays, intelligent, big data and cloud technologies make large-scale video surveillance more practical, which can greatly save manpower and surveillance equipment, and will have broad application prospects in the public safety industry. With the development of information technology, what innovative technologies will emerge in the field of public security video surveillance in the future? How will these innovative technologies affect the construction and application of public safety video surveillance networking? The following editor makes an inventory for everyone.
At present, in public security work, the most practical application is to find images with the same clue characteristics from massive video data, so that the police can find new case clues. As for "how to find?", The biggest technical obstacle lies in the structure of the video.
From the perspective of video analysis and intelligent vision, we can use some intelligent analysis methods to automatically collect some commonly used "metadata" information from a large number of pure videos, and re-use the video information by means of data TAG Organize and store for a long time to prepare for "wartime" urgent use to complete the patchwork of criminals' behavior.
Cloud technology: Promote a more balanced, flexible and reliable video surveillance system
Cloud storage technology uses a distributed file system as its basic feature, combining the traditional 3-layer storage architecture (file system, volume manager, and RAID) into a unified software layer, thereby creating a single unit that spans all nodes in the storage system. Intelligent file system. The system data and management data (metadata) of the distributed file system are distributed on each node, avoiding contention for system resources and eliminating system bottlenecks; even if the entire node fails, the system can automatically identify the failed node and automatically recover the failed node The data and metadata involved make the failure transparent to the business without affecting business continuity at all.
Intelligent video analysis: moving towards compatible, live annotation and virtual layered deployment
Intelligent video analysis is an intelligent monitoring technology based on target behavior. It separates the background and target in the scene, identifies the real target, removes background interference, and then analyzes and tracks the target behavior that appears in the camera scene. The current video intelligence analysis field has the following technological innovation capabilities:
1. Video compatibility: In practical applications, investigators only need to upload videos without recording the model of the monitoring equipment manufacturer. The system will automatically recognize the format of the video and the code stream for video preprocessing. Can support the direct playback of the video formats of mainstream DVR and NVR manufacturers, and can also convert the private video formats of different manufacturers to a unified format to use a standard video player for playback; can use the video restoration technology to lose the file index and damage the file header Repair and restore damaged video files caused by reasons such as partial content loss.
2. Electronic labeling: through the standard electronic standard dictionary (standardized target description terminology database), the relevant targets in the case evidence, including people, vehicles and things, are electronically marked, and the case description mode and management method are regulated as full-text search. Basic keywords, improve the effectiveness of serial and parallel case analysis, and expand the source of investigation leads to speed up the pace of solving cases.
3. Virtual bayonet: Rely on the virtual trigger of the road high-definition camera to realize the function of the conventional bayonet, and realize the networked deployment of the urban virtual bayonet. Audit control means that the system will start the background analysis node according to the user's control strategy, and use the intelligent analysis algorithm to capture the vehicle license plate information and the license plate information of the HD camera video or video corresponding to the front end. According to the blacklist or Customize the license plate library to match, and generate a warning.
4. Intelligent cameras: Promote the construction of video surveillance systems towards intensive and efficient cameras. The intelligentization of cameras is reflected in high-definition, low-illumination, wide-dynamic, security, and front-end intelligent analysis.
5. High-definition camera: refers to a digital camera capable of shooting high-quality, high-definition images, the picture quality can reach 720 lines (progressive scanning mode), resolution 1280 & TImes; 720; or reach 1080 lines (interlace scanning mode), resolution 1920 & TImes; 1080.
6. Low illumination: Illumination, also called sensitivity, is the sensitivity of the CCD to ambient light, or the darkest light required by the CCD for normal imaging.
7. Wide dynamic technology: It can enable the camera to obtain a bright image in a dark place, so that the bright place is not affected by color saturation, and can obtain details in the dark place.
8. Security: Support for user name and password authentication, support for 802.1x access authentication and digital certificates, and support for stream encryption have become indispensable features of smart cameras.
9. Intelligent front-end analysis: To a certain extent, it can reduce the back-end storage pressure. Front-end intelligent video analysis, detection and alarm, including but not limited to: tripwire monitoring, perimeter intrusion monitoring, legacy monitoring, item removal and wandering monitoring.
Intelligent operation and maintenance: make the video surveillance system easier and more convenient
The emergence of intelligent operation and maintenance means that users of video surveillance systems do not need to have strong professional knowledge and IT skills.
1. Automatic discovery of network cameras: The use of adaptive rapid deployment technology to achieve automatic registration of front-end network cameras, plug and play, effectively reduce the cost of installation and deployment.
2. Automatic inspection of equipment: The intelligent network camera adopts the design method of automatic inspection and fault reporting, and performs real-time inspection on the operation of the equipment system (temperature abnormality, SD card reading and writing abnormality, etc.) to improve maintenance efficiency and reduce equipment maintenance costs .
3. Automatic client upgrade: Video surveillance platform products can effectively solve the problem of synchronous upgrade of a large number of user clients through the automatic client upgrade technology.
4. Intelligent video quality diagnosis: Using the video quality diagnosis function, users can effectively detect abnormal image problems caused by lens, shield and man-made reasons. In addition, it also needs to support functions such as abnormal brightness detection, snowflake interference detection, video color cast detection, streak interference detection, and signal loss detection. It can timely detect the situation that video resources cannot be used normally and form a warning to facilitate the maintenance of equipment on the entire network.
5. Video service QoS: The video monitoring platform can ensure the effectiveness and availability of video in the event of a decline in network conditions through technologies such as bandwidth adaptation and forward error correction.
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