A Class Attendance System Based on Cloud Face Recognition for Multi-users
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.
2021 7th International Conference on Computer and Communications, ICCC 2021
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Feng, Xinlei; Liu, Yi; and Zhang, Changjiang, "A Class Attendance System Based on Cloud Face Recognition for Multi-users" (2021). Kean Publications. 1039.