• Jeeshma Jeevan
• Abhijith S
• Reshma L S
• Jeeva J
• Remya Shaji

The traditional attendance marking system requires manual effort of the teacher by calling the names of students and marking the attendance. It is both time consuming and prone to error. To overcome this difficulties, we propose a system that live capture the images of the students present in the class room and marking their attendance by detecting and recognizing their faces from captured image. For the purpose of face detection we are using MTCNN (Multi-Task Cascaded Convolutional Neural Network) and for the purpose of face recognition we are using FaceNet. FaceNet has an accuracy of 99.63%, which helps this system to achieve more efficiency.

Attendance, FaceNet, Face Recognition, Face Detection, Multi-Task Cascaded Convolutional Neural Network (MTCNN)

"Automatic Attendance Marking System Using FaceNet", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 6, page no.a977-a980, June-2021, Available :http://www.jetir.org/papers/JETIR2106140.pdf

"Automatic Attendance Marking System Using FaceNet", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 6, page no. ppa977-a980, June-2021, Available at : http://www.jetir.org/papers/JETIR2106140.pdf