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Öğe Automated Student Attendance System Using Face Recognition(Institute of Electrical and Electronics Engineers Inc., 2020) Akay, E.O.; Canbek, K.O.; Oniz, Y.In this study, an automated attendance taking system is developed and implemented. Two different face detection algorithms, namely Histogram of Oriented Gradients and Haar-Cascade algorithms, are applied and their performances are compared. Deep learning based on convolutional neural networks (CNNs) is employed for the identification of the students in the classroom. Furthermore, a mask checking feature is also included as a measure against the Covid-19 pandemic. A graphical user interface (GUI) system is designed using Python. © 2020 IEEE.
