Facial Recognition System for Automatic Attendance Tracking Using an Ensemble of Deep-Learning Techniques

Face recognition technology has made countless contributions in improving and changing the world. Attendance Systems utilizing Real-Time Face Recognition technology is a solution that can efficiently carry out the procedure of marking student attendance. Face recognition-based attendance system is the process by which we mark the attendance of the students present in the classroom by utilizing the facial data that is acquired from a surveillance camera. The proposed system captures the face of students attending the lecture by first detecting a face from the video input and with the help of an ensemble of deep learning models recognize the student and mark his/her attendance in the database [1]. This system uses an ensemble of facial recognition models such as VGG-FACE, Facenet, Openface, DeepFace so that it may be able to yield a much higher accuracy while identifying the subject.