Abstract
The primary goal of this work is to provide an overview of the project's design and, equally important, its implementation. Face Recognition is a computer application implemented for identifying or verifying human faces from a digital camera image or video. Our system employed a face recognition system to register the attendance of students upon entry and exit from Higher College of Technology (HCT) premises. The proposed system involves capturing and analyzing the facial features of individuals and comparing them to a database of the registered students. The experimental analysis of the proposed system shows that our method for facial recognition systems is quite accurate, effective, and reliable. Moreover, it would be used as an automated attendance management system in real-world scenarios. Furthermore, we performed manual testing to evaluate the application's input and output, as well as the conformance of our programming and coding to the project's specifications.
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Alantali, F. et al. (2023). Using AI to Capture Class Attendance. In: Daimi, K., Al Sadoon, A. (eds) Proceedings of the Second International Conference on Innovations in Computing Research (ICR’23). Lecture Notes in Networks and Systems, vol 721. Springer, Cham. https://doi.org/10.1007/978-3-031-35308-6_38
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DOI: https://doi.org/10.1007/978-3-031-35308-6_38
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