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基于人脸识别的学生考勤系统

Student attendance system based on face recognition

中文摘要英文摘要

人脸识别是一种基于人的脸部特征信息进行身份识别的一种生物识别技术。随着社会的发展,教育越来越被大家重视起来,高校的人数也在不断上升。同时,由于人脸识别技术的不断发展与完善,为了解决人工点名等传统考勤方法效率低下的问题,本文研究开发了基于人脸识别的学生考勤系统。本系统在Windows系统下即可使用,利用python3.6开发,使用Qt Designer设计主界面,编写界面空间的槽函数则使用Pyqt5,人脸识别算法主要使用2015年Google提出的FaceNet算法,其中OpenCV提供的ResNet-SSD预训练模型则被用于人脸检测部分。

Face recognition is a biometric recognition technology based on human face feature information. With the development of society, education has been paid more and more attention, and the number of colleges and universities is also rising. At the same time, due to the continuous development and improvement of face recognition technology, in order to solve the low efficiency of traditional attendance methods such as manual roll call, a student attendance system based on face recognition is developed in this paper. The system can be used under Windows system, using Python 3.6 development, use QT designer to design the main interface, the slot function of the interface control is written using pyqt5, and the face recognition algorithm mainly uses the facenet algorithm proposed by Google in 2015, The ResNet-SSD pre training model provided by opencv is used for face detection.

严嘉辉、诸葛斌

教育计算技术、计算机技术自动化技术、自动化技术设备

人脸识别考勤系统OpenCV

Face recognitionTime AttendanceOpenCV

严嘉辉,诸葛斌.基于人脸识别的学生考勤系统[EB/OL].(2022-12-23)[2025-07-16].http://www.paper.edu.cn/releasepaper/content/202212-87.点此复制

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