Digi Attendance – Artificial Intelligence Based Attendance System
Keywords:
student attendance system,, Multi-Task Cascaded Convolutional Neural Networks (MTCNN), deep metric learning, FacenetAbstract
Attendance of the students is much essential in the education system. To mark and store the attendance of student’s different ways can be adopted like by calling the students one by one, signatures on the attendance sheet. The process has different drawbacks, like time consuming. we proposed a web-based student attendance system that incorporates face recognition as a solution to this problem. In the proposed system, to detect faces in images we use, Multi-Task Cascaded Convolutional Neural Networks (MTCNN), to extract features from image Facenet is used, and SVM is used as classifier. So, the computer can identify faces. According to the results of the experiments, the system resulted in recognizing faces and marking their attendance. By this process keeping the record of attendance becomes very easy for educational institutes.
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Copyright (c) 2023 Wasil Khan, Abrar Shafi Bhat, Kusumlata
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