科研成果详情

题名A Class Attendance System Based on Cloud Face Recognition for Multi-users
作者
发表日期2021
会议名称International Conference on Computer and Communications
会议录名称2021 7th International Conference on Computer and Communications, ICCC 2021
页码927-931
会议日期10 December 2021~13 December 2021
会议地点Chengdu
摘要

This paper introduces a class attendance system for multi-users. This system is based on an OpenCV image recognition module to design a face recognition application that can be used for check-in. OpenCV is used as the primary control recognition module to recognize and track the target face through image processing. Meanwhile, Baidu Cloud stores a face database and provides face recognition and matching scores for face images. This system builds on a client-server structure so that multiple users can use it in different classrooms to check-in at the same time. All faculties can use this for class attendance purposes at any place.

关键词automatic attendance Cloud computing face detection and recognition
DOI10.1109/ICCC54389.2021.9674578
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语种英语English
Scopus入藏号2-s2.0-85125302026
引用统计
文献类型会议论文
条目标识符https://repository.uic.edu.cn/handle/39GCC9TT/9190
专题理工科技学院
作者单位
1.Wenzhou-Kean University,Wenzhou,China
2.BNU-HKBU UIC,Zhuhai,China
推荐引用方式
GB/T 7714
Feng, Xinlei,Liu, Yi,Zhang, Changjiang. A Class Attendance System Based on Cloud Face Recognition for Multi-users[C], 2021: 927-931.
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