Face Recognition Based Automated Student Attendance System using Deep Learning

Abstract

Maintaining the attendance record is a daunting activity with day to day events. The conventional method of calling each student's name is time-consuming and there's always a chance of being a proxy. The following method is focused on face recognition to hold the student’s attendance record. Students' regular attendance is reported as being topic wise that is already stored by the administrator. The system automatically starts taking snaps as the time for the corresponding subject arrives and then applies face detection and recognition technique to the given image and the recognized students are marked as present and their attendance update with the appropriate time and subject Id. We used profound learning techniques to build this program, the histogram of directed gradient method is used to detect faces in images, and the method of deep learning is used to compute and compare students' facial features to identify them. Our program is capable of actually recognizing multiple images.