• Dr. Sweety G. Jachak
• Ruchita R. Raut
• Tejaswini A. Rathod
• Pooja A. Nemade
• Udayan S. Jondhale

In this digital era, face recognition system plays a important role in almost every sector. Face recognition is one of the used for biometric. This project can identify many students simultaneously and taking attendance without having to make direct contact. We proposed attend face, an independent system to analyse, track and grant attendance in real time using face recognition. In that system using snapshot of class from live camera feed, the system identifies student and marks them as present in the class based on their presence in multiple snapshots taken throughout the class duration. This system consists of four phases, database creation, face detection, face recognition, attendance up-dation, Database is created by image of the student in class. Face detection and recognition is performed using CNN, DCNN, MTCNN algorithm respectively. Faces are detected and recognized from live streaming video of the classroom. The system is fully automatic and requires no professor interfere or any form of manual attendance, since the backend directly interface with in class cameras.

CNN, DCNN, Face Detection, Face Recognition, Real-Time Attendance.

"Face Recognition Based On Real-time Attendance Management System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 5, page no.d195-d202, May-2024, Available :http://www.jetir.org/papers/JETIR2405321.pdf

"Face Recognition Based On Real-time Attendance Management System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 5, page no. ppd195-d202, May-2024, Available at : http://www.jetir.org/papers/JETIR2405321.pdf