Prof. Mrunalini Buradkar,Ms. Indrayani Peshkar,Mr. Harish Zambani,Mr. Om Rode,Mr. Siddhesh Raut. ,Mr. Prathamesh Lakhe,Ms. Shraddha Dahekar.,Ms. Sakshi Bhoyar,Mr. Yash Lohi

Maintaining regular attendance is an essential thing but traditional attendance management methods can be faulty and time-consuming for administrators. Therefore, Automatic Face Automatic Recognition (AFR) is easier way to monitor attendance. Automatic Face Recognition technologies have brought many improvements in the changing world over the years. Face recognition-based attendance system is the process of recognizing the face to accept attendance using facial biometrics. Computer vision make use of cameras, sensors, and algorithms to recognize and examine visual data, encompassing images of individuals among other elements. This perspective can offer many advantages. It has three advantages over manual attendance management. First, it is faster and more accurate which means that it would take less time and effort to track who has come to school. Second, we could establish real-time attendance and find students that are always late or leave before the classes are finished. Third, we could generate analytic reports on attendance and detect any problems. During the arrival, faces would be recognized, and if that face would be from the database the information would be automatically saved to the Excel sheet. Objective of the project is to provide contactless Time and Attendance Monitoring, Real-time facial recognition, Face recognition and user identification, Seamless Database Integration, Security and Privacy.

https://doi.org/10.58357/jedcs.2024.v3.i3.3