Campus border-crossing automatic early warning method based on face recognition

Abstract

The invention discloses a campus border-crossing automatic early warning method based on face recognition, and relates to the technical field of face recognition. The method specifically comprises thefollowing operation steps of: A, data collection and input; B, campus border-crossing monitoring; C, face recognition and judgment; D, border crossing automatic early warning; ad E, later-period datamanagement. According to the campus border-crossing automatic early warning method based on face recognition, firstly, identity input can be carried out on personnel in a campus through the data collection and input step, so that identity information of border-crossing personnel is conveniently judged subsequently, and the situation of border crossing of students is avoided; through the campus border-crossing monitoring step, a monitoring device can be used for automatically monitoring a campus border position monitoring area, capturing faces and extracting face features, so that border-crossing personnel face images of the monitoring area can be obtained, the monitoring efficiency is improved, campus human resources are saved, identity information of border-crossing personnel can be intelligently judged through face recognition judgment, and strange visitors can be recognized.

Description

technical field [0001] The invention relates to the technical field of face recognition, in particular to a face recognition-based automatic pre-warning method for campus crossing. Background technique [0002] Face Recognition (Face Recognition) is a biometric technology for identification based on human facial feature information. Face recognition uses a camera or camera to collect images or video streams containing faces, and automatically detects and tracks faces in the images, and then performs a series of related application operations on the detected face images. Technically, it includes image acquisition, feature positioning, identity confirmation and search, etc. Face recognition technology can also be used in the modern campus cross-border monitoring process. [0003] The existing campus cross-border early warning method uses manual early warning, and cannot automatically warn based on face recognition. It is inconvenient to distinguish the identity of the cross-...

AI Technical Summary

Problems solved by technology

[0004] Aiming at the deficiencies of the prior art, the present invention provides an automatic warning method for campus crossing based on face recognition, which solves the problem that the existing campus crossing warning method proposed in the background technology uses manual early warning and cannot be based on people. Automatic early warning based on face recognition is inconvenient to distinguish the identity of offenders, and it is impossible to identify strange visitors outside the campus. The monitoring efficiency of campus cross-border monitoring is low and the security is insufficient.