Face early warning method and system

Abstract

The invention relates to a face early warning method and a face early warning system. The face early warning method comprises the steps as follows: respectively comparing face information collected by a first digital camera with the face information of a black list face library and the face information of a secondary face library in similarity, and if the similarity is more than the preset threshold, generating a first early warning message and sending a prompt message; respectively comparing the face information collected by a second digital camera with the face information of the black list face library and the face information of the secondary face library in similarity, and if the similarity is more than the preset threshold, generating a second early warning message and sending a confirmation message; and respectively comparing the face information collected by a third digital camera with the face information of the black list face library and the face information of the secondary face library in similarity, and if the similarity is more than the preset threshold, generating a third early warning message and sending a warning message. According to the invention, a safety management department can be helped to emphatically monitor the face information with the early warning message, so that the safety precaution initiative is improved.

Description

technical field [0001] The invention belongs to the field of face recognition alarms, in particular to a face early warning method and system. Background technique [0002] At present, the face detection and recognition technology has been gradually applied to the video security monitoring system. The existing security technology prevention system performs real-time monitoring and video recording of the interior of the open place through video security monitoring equipment, so as to realize the control of important areas and the monitoring of incidents. Video retrieval. With the improvement of system security management requirements, the number of cameras installed is also increasing. It is difficult to monitor all areas only by management personnel, and it is difficult to monitor the audience entering the open place only through monitoring pictures and manual participation. Carry out correct and timely identification and classification, especially for suspicious persons wh...

AI Technical Summary

Problems solved by technology

With the improvement of system security management requirements, the number of cameras installed is also increasing. It is difficult to monitor all areas only by management personnel, and it is difficult to monitor the audience entering the open place only through monitoring pictures and manual participation. Carry out correct and timely identification and classification, especially for suspicious persons who intend to commit crimes. The existing monitoring system cannot automatically identify and classify the audience. Realize proactive prevention before it happens

Face detection and recognition technology is mainly manifested in: first, the utilization rate of video surveillance images is low, mainly to realize image recording and monitoring of important places, and manual monitoring and management of all video images cannot be realized; Suspicious points are often found in the video after the event occurs, and the source and process of the event are searched and searched through the video, which consumes a lot of labor. Analyzing and processing, unable to provide safety management strategy, resulting in large system investment but insufficient effect

Images