Title

A Class Attendance System Based on Cloud Face Recognition for Multi-users

Authors

Xinlei Feng, Wenzhou-Kean University
Yi Liu, Wenzhou-Kean University
Changjiang Zhang, United International College

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