An intelligent face recognition system

Abstract

The invention relates to the technical field of face recognition, in particular to an intelligent face recognition system, including a face recognition module, a communication module, a display module, a power module, a signal interface and a network interface. The face recognition module comprises a graphics processor and a memory. Through establishing communication connection and switching videoacquisition source, and through a variety of ways to obtain and display the comparison results, the whole system can be carried by one person, can be rapidly deployed and installed, can be set in a personalized manner, is suitable for hidden use, and improves the flexibility and concealment.

Description

technical field [0001] The invention relates to the technical field of face recognition, in particular to an intelligent face recognition system. Background technique [0002] In public security monitoring, traditional face recognition systems need to be deployed on servers, computers or special equipment. The equipment is large in size and the deployment process is cumbersome. Generally, images or video streams containing faces collected by cameras are extracted, and algorithms Extract facial features, and match and compare with the facial features pre-entered in the database, and finally achieve the purpose of identification. There are many requirements for power supply, usage space, video source stream format and other usage environments. In some cases that require rapid deployment and covert monitoring, Space and power supply are limited, and the video source cannot be used in an environment with variable sources. [0003] Therefore, in view of the actual needs of publi...

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Problems solved by technology

[0002] In public security monitoring, traditional face recognition systems need to be deployed on servers, computers or special equipment. The equipment is large in size and the deployment process is cumbersome. Generally, images or video streams containing faces collected by cameras are extracted, and algorithms Extract facial features, and match and compare with the facial features pre-entered in the database, and finally achieve the purpose of identification. There are many requirements for power supply, usage space, video source stream format and other usage environments. In some cases that require rapid deployment and covert monitoring, Space and power supply are limited, and it cannot be used in an environment with variable video sources

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