Intelligent person capture system and person monitoring management method

Abstract

The invention relates to video monitoring and discloses an intelligent person capture system and a person monitoring management method. In the invention, the whole system comprises a front-end human face snapshot subsystem, a center analyzing server and a data management subsystem, wherein the human face snapshot subsystem, the center analyzing server and the data management subsystem are respectively connected with a switchboard; and the switchboard is utilized for forming a local area network for carrying out mutual communication. Because a front-end snapshot and rear-end analysis mode is adopted in the whole system, the system is not just in charge of acquisition of images, realizes intelligent person capture, can support retrieval afterwards, thereby being greatly convenient for the rapid search and gradual check of a public security department on criminal suspects.

Description

technical field [0001] The invention relates to video monitoring, in particular to personnel monitoring and management technology in video monitoring. Background technique [0002] In recent years, with the rapid development of the economy and the continuous improvement of people's living standards, there are a large number of negative factors that induce and breed crimes. , Uncertainty, bring great difficulties to the prevention and detection work, and the public security checkpoint monitoring system is an indispensable and important means in social security prevention and control work, criminal investigation, and traffic management. At present, in the entire security monitoring, although the checkpoints for vehicle monitoring have been implemented for many years, the management and checkpoints for people are almost zero. [0003] At present, some intelligent monitoring systems for personnel checkpoints have been proposed, and the security monitoring of people passing thro...

AI Technical Summary

Problems solved by technology

For millions of high-definition streams, it is bound to be severely limited by network bandwidth, and more importantly, the image quality of the compressed video after video codec will be seriously affected, which will definitely affect the accuracy of face recognition. Rate

[0005] In addition, these current systems do not support post-event retrieval functions, and cannot provide convenience for the public security department to conduct post-event query on captured personnel databases during the criminal investigation process.

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