湖北农业科学 ›› 2019, Vol. 58 ›› Issue (3): 111-115.doi: 10.14088/j.cnki.issn0439-8114.2019.03.029

• 信息工程 • 上一篇    下一篇

基于图像的课堂考勤系统开发

朱晓蒙1, 符云琴2   

  1. 1.河海大学公共管理学院,南京 210000;
    2.云和恩墨北京信息技术有限公司,北京 100000
  • 收稿日期:2018-03-13 出版日期:2019-02-10 发布日期:2019-11-29
  • 作者简介:朱晓蒙(1994-),女,山东菏泽人,在读硕士研究生,研究方向为计算机及行政管理,(电话)18362991889(电子信箱)985555675@qq.com。

Development of Image-based Classroom Attendance System

ZHU Xiao-meng1, FU Yun-qin2   

  1. 1.Hohai University Faculty of Public Administration,Nanjing 210000,China;
    2.Yunhe Enmo Beijing Information Technology Co.,Ltd.,Beijing 100000,China
  • Received:2018-03-13 Online:2019-02-10 Published:2019-11-29

摘要: 基于图像的课堂考勤系统,即能节省时间又能提高学校管理的智能化。整个图像课堂点名系统可分为五个功能模块,训练学生的人脸模型模块、课堂图像中的人脸检测模块和加载检测到的图像进行人脸识别模块以及点名结果的数据显示等功能。实现一个可以节省大量时间和使课堂点名更加快速和高效的系统,从而提高了教学质量和更加智能的进行学生的出勤记录管理。

关键词: 人脸识别, OpenCV, 特征脸, 课堂考勤

Abstract: Calling the roll used to be manual statistics, which is wasting time in class. The class attendance system based on image can not only save time but also improve the intelligence of school management. The whole image class roll-call system can be divided into five functional modules:training student's face model module, image model module which can detect class face, image of loading detection for face recognition module and the results of the data display and so on. A system can save a lot of time and make class attendance more rapid and efficient, so as to improve the teaching quality and manage student attendance record more intelligently.

Key words: face recognition, OpenCV, eigenfaces, class attendance

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