FRAMS: Facial Recognition Attendance Management System

Student attendance monitoring is one of the most important activity in the education domain. In the traditional attendance system it is rollcall calling method which leads to human errors and chance of marking proxy attendance is very high. The teacher also spends a considerable amount of time on attendance task. This paper introduced new model Facial Recognition Attendance Management System (FRAMS) for marking students' attendance through facial recognition. The machine learning algorithms are developed and proposed by the authors. Two models are created with train images of each students. The Face Detection and Face Recognizer models are developed in this study by using open source software libraries on static images. The experiment results show 90% accuracy is recorded by the model for marking the student's attendance successfully. The model is comparing the images with different students and marking accordingly.