Face-recognition-based network video monitoring device and monitoring recognition method

Abstract

The invention discloses a face-recognition-based network video monitoring device and a monitoring recognition method. The face-recognition-based network video monitoring device comprises a central processing unit, a audio / video signal processing module, a storage module, a clock module, a power supply module, an alarm module, an acquisition photographing module, a snap-shot photographing module, a network communication module and an infrared light source module. The acquisition photographing module is used for acquiring video data to obtain real-time video monitored images and detect a face image target in accordance with a snap-shot requirement. The snap-shot photographing module is used for performs snap-shot on the target, which is detected by the acquisition photographing module and is in accordance with the snap-shot requirement, to obtain a face image of the target and transmit the face image for carrying out targeted postprocessing. The network communication module is used for transmitting the acquired video data and the snap-shot face image to a network. The monitoring recognition method comprises the steps of: carrying out real-time figure comparison on the face image and a face image database of the storage module, or transmitting the face image to a client side to carry out figure search comparison on the face image and the face database of a figure server, and feeding back a comparison result in an alarm manner. According to the invention, the application occasions of video monitoring equipment are expanded, and the security of the application occasions is increased.

Description

technical field [0001] The invention relates to video monitoring, in particular to a face recognition-based network video monitoring device and a monitoring and identification method. Background technique [0002] Most of the existing monitoring and alarm systems in the field of security protection use cameras to capture images of the area and transmit the images to a designated server through wireless or wired communication, and then through the assistance of various image processing software and management software, security personnel can monitor in time Areas that need to be monitored, however, cannot monitor and identify personnel. However, attendance or access control equipment using face recognition, fingerprint recognition, and iris recognition technology must consciously register and compare relevant personnel, and its identification records only save the identification characteristics of relevant personnel for authentication. For example, face recognition only The ...

AI Technical Summary

Problems solved by technology

[0002] Most of the existing monitoring and alarm systems in the field of security protection use cameras to capture images of the area and transmit the images to a designated server through wireless or wired communication, and then through the assistance of various image processing software and management software, security personnel can monitor in time Areas that need to be monitored, however, cannot monitor and identify personnel identities

However, attendance or access control equipment using face recognition, fingerprint recognition, and iris recognition technology must consciously register and compare relevant personnel, and its identification records only save the identification characteristics of relevant personnel for authentication. For example, face recognition only Save faces and avatars, fingerprint recognition only saves fingerprint images, and the scene where these people were at that time is not saved, making it difficult to judge the authenticity of the recognition results interfered by forged recognition features

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