首页|基于人脸识别的课堂考勤管理系统设计与实现

基于人脸识别的课堂考勤管理系统设计与实现

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课堂学习是学生获取知识、培养能力、提高素质的主要渠道,系统科学的课堂考勤是保证各项教学计划有效落实和顺利执行的重要条件.文章基于face_recognition库,使用Python编程语言设计并实现了一款基于人脸识别的课堂考勤管理系统.系统前端界面采用PyQt进行设计,后端系统数据采用MySQL数据库进行管理.系统通过调用人脸识别技术可自动对学生进行课堂考勤,还可根据需要生成出勤统计报表供教师参考.经反复测试,系统各项功能运行稳定且交互人性化,可有效提高课堂考勤的效率和准确率.
Design and implementation of class attendance management system based on face recognition
Classroom learning is the main channel for students to acquire knowledge,cultivate ability and improve quality,and systematic and scientific classroom attendance is an important condition to ensure the effective implementation and smooth execution of various teaching plans.Based on the face_recognition library,this paper designs and implements a class attendance management system based on face recognition using Python programming language.The front-end interface of the system is designed using PyQt,and the back-end data is managed using MySQL database.The system can automatically take classroom attendance for students by using face recognition technology,and can also generate attendance statistics for teachers according to their needs.After repeated tests,the system functions are stable and user-friendly,which can effectively improve the efficiency and accuracy of classroom attendance.

class attendanceface_recognitionPythonPyQt

郭顺超、庞成、韩旭日

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黔南民族师范学院 计算机与信息学院,贵州 都匀 558000

黔南州工业自动化与机器视觉重点实验室,贵州 都匀 558000

河北省沙河市卫生健康局,河北 沙河 054100

课堂考勤 face_recognition Python PyQt

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黔南科合学科建设自筹[2018]16号黔科合基础-ZK[2022]一般550

2024

无线互联科技
江苏省科学技术情报研究所

无线互联科技

影响因子:0.263
ISSN:1672-6944
年,卷(期):2024.21(17)