Offline face recognition system and offline face recognition method based on low-power-consumption embedded and infrared triggering

Abstract

The invention discloses an offline face recognition system and an offline face recognition method based on low-power-consumption embedded and infrared triggering. The offline face recognition method comprises the steps of continuously detecting an object distance, and returning the object distance by means of a voltage value manner; determining whether an object enters a recognition range according to the returned voltage value, acquiring an image of the image which enters the recognition range, determining whether the acquired image is a face image, if not, displaying error information, and if yes, determining whether the current face image belongs to a moving object, if not, displaying the error information; and if yes, performing matching on the face image and stored information in a face characteristic database, and outputting a matching result. The offline face recognition system and the offline face recognition method have advantages of ultralow power consumption, high mute stability, small size, high convenience in mounting, offline recognition, normal operation without networking, high stability and high reliability in operation.

Description

technical field [0001] The invention relates to an off-line face recognition system and method based on low power consumption embedded and infrared trigger. Background technique [0002] In contemporary life, computers and network communication technologies are almost everywhere, and the information they transmit has penetrated into almost every aspect of our lives. However, information security issues are increasing day by day. Therefore, before people obtain information resources, they often need to verify their identities, so as to ensure the security of information. Because the face is born with the same biological characteristics (fingerprint, iris, etc.) The device can acquire facial images almost unconsciously. [0003] The main working mode of the existing face recognition system: the recognition system runs on large and medium-sized servers, and the client only performs the functions of connecting to the server, online image transmission, and displaying the recogn...

AI Technical Summary

Problems solved by technology

[0004] The shortcomings of the existing face recognition system: 1. The server is bulky, the client has a single function, and needs to be connected to the Internet. Once the network is disconnected, the face verification function will not be realized; 2. The system needs 24 hours of continuous power operation, and the power consumption is large , the hardware loss increases, and the life span decreases; 3. In image acquisition, it is impossible to effectively distinguish between real people and photos

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