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.
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)。