Real Time Attendance System using One Shot Learning for Face Recognition
Parikshit Pawde · International Journal of Advanced Trends in Computer Science and Engineering · 2020
Attending lectures plays an important part in the intellectual development of a student.Hence, attendance is given such great value in our education system.It is a useful measure of evaluating the performance of a student.Thus, we propose a real time attendance system which identifies and then recognizes students using their facial features.This system will record and mark attendance of all the students present in the classroom with the help of advancements in machine learning.The various technologies used in face recognition include Convolution Neural Network (CNN), Recurrent Neural Network (RNN), Siamese Neural Network and many more.We will be working with the lattermost that is, Siamese neural network for One shot learning.The steps described in this paper include capturing video and converting it into a picture, face detection, face recognition using feature extraction and classification.Multiple cameras ensure accuracy and accountability of the system.This automated system can transform the manual and tedious work of taking attendance to a simpler and automated one.