摘要
本文基于计算机视觉技术设计了一种课堂实时考勤系统,首先根据MVC架构搭建系统整体结构,然后设计了基于深度学习的计算机视觉模型用于人脸检测和识别,并建立了关系型数据库模型,最后通过Web服务实现实时考勤功能。本系统有利于学校课堂教学管理,具有一定的发展前景。
In this paper designed a real-time classroom attendance system based on computer vision technology. First, we build the overall structure of the system according to the MVC architecture. Then we designed a computer vision model based on deep learning for face detection and recognition, and establish a relational database model, and finally we implement real-time attendance by using Web services. This system is beneficial to school classroom teaching management and has certain development prospects.
作者
牛作东
李捍东
Niu Zuodong;Li Handong(College of Electrical Engineering,Guizhou University,Guiyang Guizhou,550025)
出处
《电子测试》
2020年第4期60-62,共3页
Electronic Test
关键词
计算机视觉
课堂考勤
深度学习
MCV架构
computer vision
classroom attendance
deep learning
MCV architecture
