A Class Attendance System Based on Cloud Face Recognition for Multi-users
Document Type
Conference Proceeding
Publication Date
1-1-2021
Abstract
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.
Publication Title
2021 7th International Conference on Computer and Communications, ICCC 2021
First Page Number
927
Last Page Number
931
DOI
10.1109/ICCC54389.2021.9674578
Recommended Citation
Feng, Xinlei; Liu, Yi; and Zhang, Changjiang, "A Class Attendance System Based on Cloud Face Recognition for Multi-users" (2021). Kean Publications. 1039.
https://digitalcommons.kean.edu/keanpublications/1039