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Universal application of video diagnostics
Based on a specific video image analysis algorithm, the video diagnostic technology can intelligently analyze the video images in the surveillance system. According to the logic of the algorithm, the video quality is divided into normal, signal loss, network abnormality, occlusion, freezing, video blur, video over , video too dark, color cast, signal interference, jitter and so on. Users can view front-end cameras' real-time status, receive alarms, handle alarms, and query historical information through B/S or C/S methods, and can perform various statistics based on different attributes of the camera's area, brand, type of fault, and severity of failure. analysis.
It is used in areas where there are large-scale video surveillance systems such as public security departments, transportation departments, electric power industry, large-scale buildings, and operation monitoring. The video image quality diagnosis technology has the following functions:
1 for video surveillance system "protect escort"
The application of video diagnosis technology combined with video surveillance system, real-time monitoring of the front-end camera, effectively prevent front-end camera failure, video transmission, human damage and other factors on the video surveillance system losses, to ensure the normal and stable operation of the system. At the same time, video diagnosis technology as a video surveillance system function to improve and supplement, only need to obtain video stream information from the original system, will not affect the normal operation of existing systems.
2 Save a lot of manpower and material resources
The application of video diagnostic technology mostly covers each front-end camera in the video surveillance system one by one through the circumstance of visual inspection, and once an abnormality is found, an alarm will be issued immediately. The management personnel are freed from the arduous work, effectively relieve the stress caused by manual rapid inspections, and greatly reduce the investment in labor costs and time costs.
3 Classified statistical analysis, auxiliary operation and maintenance management
The application of video diagnosis technology combines log data management functions. Once the system detects a device failure, the system automatically generates a system status log, a failure log, etc., and provides data and picture support. Managers can export or print out the operation status report, and analyze and classify the camera brand and installation location to determine the factors that are prone to failure and carry out targeted maintenance and management, thereby greatly improving the operating efficiency of the video surveillance system.