Video generation system based on face recognition

Abstract

The invention discloses a video generation system based on face recognition, which relates to the field of safety monitoring and comprises a video acquisition module, a data storage module, a face recognition module, a data analysis module, a monitoring module and an early warning management module. The video acquisition module is connected with the face recognition module and is used for transmitting the acquired face video information to the face recognition module for face recognition; the data analysis module is used for receiving and analyzing the foreign personnel signals transmitted by the face recognition module and sending a start marking instruction and an end marking instruction to the monitoring module; the monitoring module is used for further analyzing the check video to obtain a monitoring value of the check video; according to the invention, the monitoring video can be reasonably sent to security personnel for troubleshooting according to the monitoring value of the monitoring video, and the effects of early warning and active defense are achieved; and meanwhile, troubleshooting personnel can be reasonably arranged for troubleshooting according to the matching value of the security personnel, so that the troubleshooting efficiency is improved.

Description

technical field [0001] The invention relates to the field of security monitoring, in particular to a video generation system based on face recognition. Background technique [0002] The video surveillance system is an integral part of the security system, and it is a comprehensive system with strong prevention capabilities. Video surveillance is widely used in military, police, civilian and other fields because of its intuition, convenience and rich information content. Many of the existing video surveillance systems are simple non-intelligent video storage systems, and their shortcomings are very obvious. First, security personnel need to monitor the screen in real time to capture key events, which is costly and inefficient. Second, the application of video surveillance has been integrated into the daily case-handling work of the police, but the method of browsing and checking video recordings is still manual after the event, which is time-consuming and labor-intensive. I...

AI Technical Summary

Problems solved by technology

Many of the existing video surveillance systems are simple non-intelligent video storage systems, and their shortcomings are obvious

First, security personnel need to monitor the screen in real time to capture key events, which is costly and inefficient

Second, the application of video surveillance has been integrated into the daily case-handling work of the police, but the method of browsing and checking video recordings is still manual after the event, which is time-consuming and labor-intensive. It lacks the standardized generation method of video information and intelligence, and thus lacks the use of video information and intelligence. A new type of police work mode to guide investigation and solve crimes, and manual browsing and investigation can easily cause fatigue of personnel, etc., and it is easy to miss key information if you are not careful

The cross-domain and cross-police sharing of the third video information and the interconnection and intercommunication with other information systems are prominent. The inconsistency of the language of the cross-systems makes the information become isolated islands, which limits the construction and application of big intelligence and big information systems.

[0003] With the development of science and technology, the existing video surveillance system has been difficult to meet people's needs. An intelligent method is urgently needed to replace the original manual method, which can mark the surveillance video based on face recognition. The monitoring value is reasonable and the monitoring video is sent to the security personnel for investigation, which plays the role of early warning and active defense

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