Networking type multi-channel access control and attendance system

Abstract

The invention relates to a networking type multi-channel access control and attendance system. A camera of the system is used for collecting the face image of a card holder, and an intelligent card reader is used for connecting the intelligent card information of the card holder; a data transformation module is used for transmitting video data collected by the camera and the intelligent card reader to a central control computer; a network interface module is used for network connection; and the central control computer is used for confirming, analyzing and identifying the face image and the intelligent card information of the card holder so as to check whether the card holder is the true master of an intelligent card or not. The networking type multi-channel access control and attendance system can effectively prevent the generation of the behaviors of personating as others or replacing others to punch the card for attendance. The networking type multi-channel access control and attendance system compares and confirms the face image of the card holder and the corresponding master sample image of the intelligent card in the information database of a person to be confirmed on the basis of the algorithm of blocked main component analysis, has the advantages of less calculating amount and rapid analysis and identification and is suitable for customs monitoring systems, access control, attendance systems and the like.

Description

technical field [0001] The invention relates to an access control and attendance system, in particular to a networked multi-channel access control and attendance system. Background technique [0002] In today's information age, the needs of society and individuals for safe and convenient identity authentication technology have become more and more urgent. Traditional personal identification is mainly through physical media such as keys, passwords, and personal identification certificates. The defect of these methods is that they are easy to be stolen and lose the meaning of confidentiality. And tighter security often brings a lot of inconvenience. In this case, the use of human body's own biological characteristics for identification has become a general trend. Among the many biometric technologies, face recognition does not require the cooperation of the person being recognized, and is suitable for occasions where people do not want to be noticed by the person being ident...

AI Technical Summary

Problems solved by technology

[0004] Most of the existing access control systems for face recognition, analysis and recognition are based on active shape models, active appearance models, active contour models, principal component analysis methods and face analysis and recognition algorithms of neural networks. These methods are characterized by The recognition rate is high, but the disadvantage is that the algorithm is too complex, the amount of calculation is huge, and the analysis time is long. To obtain a faster calculation time, it needs to be built on a parallel computing hardware system, and the cost is high

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