基于人脸识别的学生听课考勤系统设计与实现

Design and Implementation of Student Class Attendance System Based on Face Recognition

摘要: 随着时代的发展，我国大学招生规模越来越大，为了解决传统签到效率低下，大学生代课签到频发，数据统计繁琐复杂等问题，特设计一种学生考勤系统。该系统基于人脸识别技术，通过摄像头录入学生人脸图像，并人工录入其身份信息，经过图片处理、学生面部明显特征提取、数据信息存储等步骤后，利用相关算法与学生人脸进行对比，从而快速完成考勤工作并导出考勤信息表。该系统支持多人同时识别、随时随地识别、替代考勤识别等功能，使得本系统具有考勤速度快、准确性高等优点，有效地解决了学生代课现象。同时，此系统采用软硬件一体化设计，节省教师考勤时间，可帮助教师提升课堂管理效率。

Abstract: With the continuous expansion of university enrollment in China, traditional attendance methods have exposed many drawbacks such as low efficiency, frequent proxy attendance and complicated data statistics. A student attendance system based on face recognition technology is proposed in this paper. The system collects students’ face images and identity information via cameras, and realizes rapid attendance checking through image processing, facial feature extraction and data matching. It supports multi-person simultaneous identification and mobile attendance, which effectively restrains proxy attendance behavior. With the integrated design of software and hardware, the system reduces teachers’ workload of attendance management and improves the efficiency of classroom management.