A security monitoring and management method for dense crowds based on artificial intelligence dynamic monitoring

Abstract

The invention provides a dense crowd security and protection monitoring management method based on artificial intelligence dynamic monitoring. The method comprises the following steps: screening and marking sensitive personnel based on dynamic face recognition at an entrance and an exit, Wherein the face recognition comprises rapid primary screening and accurate secondary screening; And if necessary, using the unmanned aerial vehicle monitoring system to assist in performing face tracking monitoring; performing Crowd density dynamic monitoring based on video analysis, Wherein the dynamic crowddensity is calculated by adopting a direction gradient histogram human body detection algorithm; Detecting and warning group abnormal behaviors of the dense crowd under video monitoring; And performing the unmanned aerial vehicle assisting monitoring in the video monitoring blind area. According to the method, a key monitoring area and comprehensive dynamic monitoring are combined, flow monitoring of an unmanned aerial vehicle system is assisted, and full monitoring coverage of dense crowd occasions is achieved.

Description

technical field [0001] The invention relates to the field of artificial intelligence monitoring, in particular to a security monitoring management method based on human body detection and identification used in dense crowds. Background technique [0002] In recent years, public security issues, including terrorism, have become major issues in the field of social security. Especially in crowded places, timely and accurate monitoring becomes the key to predicting security incidents. In the past, even if the suspect was identified, traditional investigation work such as manually comparing the photos of the suspect was often relied on. The workload was heavy and the efficiency was low. Obviously, it could not meet the needs of modern security services, especially in crowded places such as rallies. , ranging from crimes such as stampede and robbery, to terrorists lurking, cannot rely on manual monitoring to deal with them in a timely manner. [0003] In addition, in some crowde...

AI Technical Summary

Problems solved by technology

[0024] In summary, although the prior art discloses a variety of intelligent monitoring, it is aimed at specific occasions with dense crowds, such as stations (trains, automobiles, airports), station squares, waiting halls, gymnasiums, waiting halls and other temporary gathering places etc., there is no published report on the systematic and segmented intelligent monitoring that combines effective key monitoring-intelligent comprehensive monitoring-early warning

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