• Ms. Aishwarya G
• N Kalyan
• Naga Krishna N P
• Nakul D
• Nitin Narayan T A

Implementing an Attendance Monitoring System is crucial, in institutions to evaluate student performance. The traditional manual process of recording attendance, where students are called out by their register numbers or names and entries are made in attendance registers can be cumbersome and error prone. It's not uncommon for students to sign the attendance sheets on behalf of classmates resulting in inaccuracies. This becomes more challenging in classrooms making it difficult to track individual student attendance effectively. This article suggests an approach that utilizes face detection and recognition technology to automate the procedure for tracking attendance. By capturing and comparing features of students with a pre-existing database this facial biometric system allows for accurate marking of attendance. The system uses a camera to capture images compares them with stored images, during enrollment and marks attendance when a match is found. Moreover, the integration of intelligence enables the capture of motion pictures enabling analysis of students’ presence duration in the classroom. This comprehensive solution ensures management of attendance and continuous monitoring of student engagement.

Applications of student attendance monitoring, Artificial Intelligence, face organisation, and student attendance system

"A Survey Paper on Facial Identification-Based Automated Attendance System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 5, page no.e785-e790, May-2024, Available :http://www.jetir.org/papers/JETIR2405492.pdf

"A Survey Paper on Facial Identification-Based Automated Attendance 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. ppe785-e790, May-2024, Available at : http://www.jetir.org/papers/JETIR2405492.pdf