Intelligent safety monitoring system and method based on multilevel filtering face recognition

Abstract

The invention discloses a method based on multilevel filtering face recognition. The method comprises the following steps of: collecting a face image of a detected man through an image collection system on a user terminal; automatically detecting and partitioning an exact position of a face from the collected face image by a face detection and positioning system, and performing intelligent indication and image quality real-time monitoring on a face image collection process through an automatic and real-time face image quality detection system; extracting characteristic points from the face image of the user terminal according to an image quality detection threshold value, and generating corresponding target face templates; and performing real-time comparison on a face to be recognized which is detected by a client and a known face database based on a multilevel filter searching algorithm through a background server, finding out the face template having the highest matching score, judging according to a preset threshold value of the system and determining identity information of the shot man in real time. The invention also provides an intelligent identity recognition and safety monitoring system based on a multilevel face filtering and searching technology with high reliability and flexibility.

Description

technical field [0001] The invention relates to the field of biometric identification, in particular to an intelligent security monitoring system and method based on multi-layer filtering face recognition. Background technique [0002] In the field of biometrics, face recognition technology (Face Recognition Technology) has gradually attracted the attention of more and more industrial researchers. In recent years, with the rapid development of related technologies and the increasing actual demand, face recognition Many fields show broad application prospects. For example: face recognition technology can be used as an auxiliary means in the judicial field, for identity verification, criminal identification, etc.; there are also many potential applications in business, such as bank credit card identification, security identification systems, videophones, medicine, archives Management, hotel management, video conferencing human-computer interaction systems, etc., can not only ...

AI Technical Summary

Problems solved by technology

There is still a certain gap between the domestic face intelligent recognition system and foreign cutting-edge technologies in terms of face image acquisition, recognition accuracy and speed, and the stability of products in practical applications is not ideal, mainly manifested in most products. It is sensitive to changes in lighting, age, expression, posture, distance and other conditions. When some conditions change slightly, the recognition effect will be greatly reduced, and the search and comparison speed cannot meet the requirements of real-time processing. More importantly, In the case of increasing database size, the false recognition rate (FAR) is too high, and the resulting false alarm (False Alarm) phenomenon makes many businesses and public security departments discouraged from security alarm systems based on face recognition.

The above factors have seriously restricted the promotion and application of face recognition technology in high-end intelligent monitoring and large-scale database accurate search with security value in our country.

Images