Abstract
The automated attendance system is a new way to record attendance and absence in university courses that are given inside the university campus. This work aims to reduce wasted time due to recording attendance and absence in the presence of many students in most courses using image processing, face detection, face recognition, and Artificial intelligence algorithms. The system is designed to be used by instructors and the admission department. This research project presents the main steps that led to the creation of the system, starting from gathering data about different attendance systems that were available on the Internet and reviewing them. Then, specifying the design and development phase of the system. The last step will be implementing the system using real hardware and software tools.
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Aljaafreh, A., Lahloub, W.S., Al-Awadat, M.S., Al-Awawdeh, O. (2023). Real-Time Student Attendance System Using Face Recognition. In: Arai, K. (eds) Intelligent Systems and Applications. IntelliSys 2022. Lecture Notes in Networks and Systems, vol 542. Springer, Cham. https://doi.org/10.1007/978-3-031-16072-1_50
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DOI: https://doi.org/10.1007/978-3-031-16072-1_50
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