基于人工智能的人脸图像识别校园安防系统设计

Design of Campus Security System for Face Image Recognition Based on Artifi cial Intelligence

当前,校园安防主要借助于专门的保安人员来对非校内人员进行甄别,这种方式不仅甄别准确性较低,并且效率也较低。为了对此问题进行解决,研究出一种以机器视觉技术为基础的校园安防智能识别系统。该系统可以对出入校门的人脸影像图进行动态采集,并根据OpenCv等算法,对这些采集到的影像图进行动态分析,然后对这些影像图的人脸特征进行检测。借助于数学算法对其进行处理,从而完成相应的人脸特征信息提取,这样就能将其与存储的信息进行对比,从而对出入人员进行动态甄别。这种方式不仅有着较高的甄别准确性,同时还具有颇高的检测效率,具有较高的推广与研究价值。

At present, campus security mainly by special security personnel to screen non-campus personnel, this way not only screening accuracy is lower, and the efficiency is lower. In order to solve this problem, a campus security intelligent identifi cation system based on machine vision technology is developed. The system can dynamically collect the face image of the entrance and exit of the school, and according to the OpenCv algorithm, dynamic analysis of the collected image, and then detect the face features of these images. With the help of mathematical algorithm to process it, so as to complete the corresponding facial feature information extraction, so that it can be compared with the stored information, so as to carry out dynamic screening of people in and out. This method not only has high screening accuracy, but also has high detection effi ciency, and has high promotion and research value.