Video surveillance network quality inspection method and system

Abstract

The invention discloses a video surveillance network quality inspection method and a system and belongs to the technical field of network videos. The method comprises the following steps of monitoring work status of a device in a video surveillance network; monitoring and inspecting video image quality; performing statistics on detection results and alarming information of the video surveillance network device and the video image quality, displaying alarm information to users automatically, and providing service including browse, inquiry and the like. The invention further provides the system applying the method. The system manages and monitors large video networks in a concentrated mode, automatically analyzes and evaluates video quality of a front camera in the video surveillance network and operation status of the network device, timely finds out failure of the camera and the network device, and greatly improves safety and flexibility of the video surveillance network and accuracy and real-time performance of video and network failure detection.

Description

technical field [0001] The invention relates to the technical field of network video, in particular to the technology of video monitoring network management and video image quality detection. Background technique [0002] With the development of society and the continuous improvement of public security awareness, video surveillance is widely used in the security monitoring of important parts and places in various fields such as government, education, transportation, and finance because of its intuitive, accurate, timely, and rich information. , Playing an increasingly irreplaceable role in public security work. [0003] In recent years, with the continuous expansion of the scale of the video surveillance system and the deepening of the application, the demand for system integration has become increasingly strong, and the public security organs at all levels have continuously increased the demand for remote image resource sharing. The operation and maintenance management of t...

AI Technical Summary

Problems solved by technology

However, the existing video quality diagnosis and control system applied to the video surveillance network only detects the faults of the front-end cameras, but does not detect and manage the status of the transmission equipment in the surveillance network, and cannot detect and troubleshoot the faults in the video surveillance network in a timely manner. equipment failure

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