Large data human face monitoring system and device

Abstract

The invention discloses a monitoring system and device based on human face large data. The system is composed of a front-end real-time acquisition system and a human face monitoring center management system. The front-end real-time acquisition system distributively collects a human face video or a high-definition human face image and individual basic information, and carries out uploading to a human face comparison server. The human face comparison server establishes a local human face data management system for uploaded human face data, and periodically carries out data synchronization with the human face monitoring center management system to synchronize added human face data to a central database. The central database uses a simple and efficient human face matching algorithm, or merges and classifies human face data based on a unique identification code. Based on the classified human face large data, data analysis, blacklist large-scale early warning and other functions are carried out. The system provided by the invention effectively solves the problem that current urban human face monitoring systems are independent of each other, have separated data, and are not conducive to the construction of an accurate criminal suspect tracking system.

Description

technical field [0001] The invention belongs to the field of face recognition, in particular to a big data face monitoring system and device. Background technique [0002] With the development of the economy, the speed of urban construction has accelerated, resulting in dense population in the city, the increase of floating population, and the social crime rate has increased year by year, which has caused urban management problems such as transportation, social security, and prevention of key areas in urban construction. In view of the high mobility of criminals, the complexity of the situation, and the difficulty of deploying and controlling key personnel, the current popular method is to establish an efficient video surveillance system platform. [0003] A large number of safe cities and high-definition popularization of social surveillance provide the basis for face recognition applications. After the incident, the use of video recordings to extract face recognition comp...

AI Technical Summary

Problems solved by technology

[0005] The existing face video control mainly uses urban surveillance cameras to collect faces, and uses the mode of network transmission to send the faces to the background for face comparison. The disadvantage of this method is that the data between different systems is not interoperable and cannot Sharing data is not conducive to improving the stability and reliability of the system, so it cannot effectively monitor and track suspicious personnel in the public security system on a large scale

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