基于人脸识别的智能教学辅助平台  

作　　者：梁薪弛 彭睿杰 刘欢 张亚楠 

机构地区：[1]哈尔滨理工大学计算机科学与技术学院,黑龙江哈尔滨150080

出　　处：《科技创新与应用》2022年第6期58-62,共5页Technology Innovation and Application

基　　金：安徽省科技重大专项项目(202003a05020015);哈尔滨市科技创新人才研究专项资金项目(2017RALXJ016)。

摘　　要：随着人工智能不断发展,智能化的考勤系统在各类场景的应用越来越广泛,其中基于生物信息的人脸面部特征的考勤系统尤其热门。文章针对目前存在传统意义上的课堂签到方式的种种弊端进行研究,提供一种基于OpenCV的装载人脸识别模块功能的摄像头进行人脸信息比对,从而进行课堂签到,能够有力提高课堂签到效率,同时可以防止漏签、仿签。With the continuous development of artificial intelligence,intelligent attendance system has been applied more and more widely in all kinds of scenes,among which the attendance system based on biological information of human face and facial features is particularly popular.In this paper,the disadvantages of the existing traditional classroom sign-in methods are studied,and a camera loaded with face recognition module based on OpenCV is provided to compare face information for classroom sign-in,which can effectively improve the efficiency of classroom check-in and meanwhile prevent omission and imitation.

关 键 词：人脸识别 考勤 签到 OPENCV 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]