Intelligent video image diagnosis system and method

Abstract

The invention relates to an intelligent video image diagnosis system, which comprises a video data access interface used for accessing real-time video images transmitted by monitoring points, an intelligent image analysis unit used for intelligent analysis of the real-time video images in a polling mode, an abnormal phenomenon standard comparison unit used for comparing with standard units for abnormal phenomena of various video images to judge the quality of the video images, and a fault alarm unit used for generating video image fault alarm information and informing a system administrator when the video images are determined to have problems. The invention also relates to an intelligent video image diagnosis method. Intelligent image analysis is fused in the video image monitoring process of the monitoring points, the low-efficiency manual mode is changed into an efficient intelligent video image diagnosis mode, the fault alarm information is timely generated and the system administrator is informed of the fault alarm information, so that the monitoring points can work stably and normally and the social and personnel safety is ensured.

Description

technical field [0001] The invention relates to video monitoring application technology, in particular to a video image intelligent diagnosis system and method. Background technique [0002] At present, the scope of application of video surveillance has gradually penetrated into all walks of life, including public security, quality inspection, insurance, environmental protection, meteorology, finance, transportation, water conservancy, urban management, and small and medium-sized enterprises. At the same time, new technologies such as networking and intelligence have made these monitoring points It is no longer a simple stand-alone monitoring, and the monitoring time period is gradually extended from 8 hours a day to 24 hours. The holding of the 2008 Beijing Olympic Games and the 2010 Shanghai World Expo have put forward higher security requirements for social security and personal safety, and promoted the rapid development of the video surveillance field. The number of surv...

AI Technical Summary

Problems solved by technology

The holding of the 2008 Beijing Olympic Games and the 2010 Shanghai World Expo have put forward higher security requirements for social security and personal safety, and promoted the rapid development of the video surveillance field. The number of surveillance cameras has continued to increase, while system maintenance The work also brings more difficult challenges. It is necessary to ensure that all monitoring points can work stably and normally in real time. Once the equipment is abnormal and the video data is lost, resulting in difficulties in obtaining evidence, the economic loss and impact it will bring will be unpredictable. of

[0003] In the prior art, the video image quality of each monitoring point is mainly identified manually. By manually clicking on the video image of a certain monitoring point, it is judged by the naked eye whether there is any abnormality in the video image. This method is very inefficient. Especially for extremely large monitoring front-ends, it may not be realistic to diagnose the video quality of each monitoring front-end, and it will take a lot of manpower and time to support

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