Optimizing the Student Attendance System Using Facial Recognition Technology

Abstract

 Based on the current digital transformation needs in schools, the facial recognition system for automatic student attendance plays an important role. This system is designed to record students’ entry and exit times, allowing for control over student attendance rather than manual attendance. In this article, the authors study the detection and recognition of faces using algorithms in FaceNet, the triplet loss function, the GAN image enhancement technique, and libraries in Python and CSS programming languages. The group has built an attendance system from the database of images of students created, helping lecturers no longer waste time taking attendance and very convenient in monitoring and statistics of each student’s attendance during the study process at school.