基于人脸识别的自动课堂考勤系统的 设 计 与 实 现

Design and Implementation of Automatic Classroom Attendance System Based on Face Recognition

为解决手工点名签到中存在的代人签到、费时费力以及指纹、虹膜等生物签到技术的使用难度大、不够方便的问题,使用Visual Studio 2017集成开发平台,基于Entity Framework框架,利用Emgu CV图像库,开发了一套基于人脸识别的自动课堂考勤系统。在分析几种人脸识别算法以及Emgu CV图像处理库的基础上,设计了系统整体结构,阐述了系统的实现步骤及关键功能的实现技术。在实时的视频中,该系统可实现多人的自动检测、识别和考勤功能。

There are some problems of allograph,time-consuming and laborious,and fingerprint,iris and other bio-check-in technologies in traditional manual sign-up,which are difficult and inconvenient to use.In order to solve the above problems,an automatic classroom attendance system is developed.The system is based on face recognition and developed in Visual Studio 2017 integrated development platform by utilizing Emgu CV image library and Entity Framework.Based on the analysis of several face recognition algorithms and Emgu CV image processing database,the overall structure of the system is designed,and the implementation steps and key functions of the system are described.In real-time video,the system can realize multi-person automatic detection,recognition and attendance function.