Access control system and method for densely populated entrances and exits based on face recognition and video fence

Abstract

The present invention provides an access control system and method for densely populated entrances and exits based on face recognition and video fences. The method includes acquiring real-time video streams captured by surveillance cameras; analyzing the real-time video streams to obtain feature values ​​of human faces; The eigenvalues ​​of the face track the face, and at the same time capture the face image of the tracked face continuously; when the tracked face enters the preset electronic fence area, select the best face image for face recognition , to obtain face identity information; perform authority authentication and identification based on face identity information, and perform different plots on the image; when a human body is detected to enter the control area, trigger the judgment of personnel access authority. The invention can solve the contradiction between traffic speed and personnel identity identification at densely populated entrances and exits, realize personnel identity identification and access control in an open environment, and achieve the effects of rapid passage, effective identification and access control without active cooperation of personnel.

Description

technical field [0001] The invention relates to the technical field of access control, in particular to an access control system and method for densely populated entrances and exits based on face recognition and video fences. Background technique [0002] Modern society has higher and higher requirements for public security, which brings great development opportunities and challenges to intelligent surveillance and video analysis technology. Many occasions, such as the detection of densely populated areas, the security control of important places such as railway stations, banks, and stock exchanges, require the use of video analysis technology. In this scenario, users are more concerned about abnormal behavior in video surveillance, identifying Abnormal conditions in the monitoring screen can be sent out in a real-time and reliable manner to effectively assist monitoring personnel to obtain accurate information and deal with emergencies to prevent more dangerous activities f...

AI Technical Summary

Problems solved by technology

Its disadvantages are: face recognition within a limited range is greatly affected by factors such as illumination, angle, and occlusion, and the recognition speed is limited, resulting in slow traffic and serious congestion.

This application mode increases the management difficulty of the system and limits the practical application of face recognition technology

[0010] Our country has a large population, and it is impossible to impose too many constraints and restrictions on the flow of people in many places, especially for open entrances and exits in the center of the city. If the access control method is used to restrict the identification, it is very easy to cause delay or congestion of the flow of people, and Does not reflect the superiority of covert recognition, thus failing to achieve the purpose of using face recognition technology to improve public safety monitoring

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