부산대학교 도서관

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.