• Abhijeet Balu Thombare
• Abhishek Ajay Diwate
• Pramod Daulat Borhade
• Nishant Suresh Deshmukh
• Raghunath Kawale

The existing attendance system requires students to manually sign the sheet every time they attend a class. This includes the more time consumed by the students to find their name on the sheet, some students may mistakenly sign another student’s name and the sometimes sheet may get lost. For every College, attendance is the most important thing to record the presence of students in Classes. Usually, attendance is done manually, it can be signed or called one by one. So we introduce face recognition to record attendance for everyone present in the college. To developed a face recognition system we have used MTCNN and Facenet . This system can recognize a person’s face and record attendance for that person to make attendance activities more efficient and faster.

Image Processing, Deep Learning, Neural Network , MTCNN, FaceNet .

"Face Recognition for Attendance System using Deep Learning and Neural Network", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 1, page no.d736-d739, January-2022, Available :http://www.jetir.org/papers/JETIR2201396.pdf

"Face Recognition for Attendance System using Deep Learning and Neural Network", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 1, page no. ppd736-d739, January-2022, Available at : http://www.jetir.org/papers/JETIR2201396.pdf