A fundamental system necessary for monitoring student performance is attendance tracking. It is always a harder task to monitor the student consistently all through the learning period. A conventional based attendance system is not efficient enough, as it tracks the student's presence at the start or the end of the hour. This research work has proposed a facial recognition and artificial intelligence (AI)-based attendance tracking system. The proposed system includes a face recognition model to recognize real time images and upload the data to cloud server by using a deep learning TensorFlow framework. As a part of the proposed attendance tracking system, the face recognition system can also be utilized to maintain “punch card” records. It can be used to enhance recognition, authentication and security.
AI-based Attendance Tracking System using Real-Time Facial Recognition
2022-12-01
579507 byte
Conference paper
Electronic Resource
English
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