• Srinivas Y
• Pallikonda Lokesh
• Shaik Ibrahim
• Gaddam Thanmayee Reddy

With the excessive use of monitoring cameras installed in public places, schools, colleges, hospitals, and homes, an application for tracking and detecting faces in videos used for multipurpose activities is vital. So this real-time application detects, recognizes the faces, and updates the attendance of the students. For that, we are using an open-source computer vision called OpenCV. This project needs a face tracking framework capable of face detection using Adaboost and Haar cascades. To achieve Face recognition from video, image processing techniques are used. This application runs efficiently and smoothly to automatically mark the attendance and track multiple persons in real-time.

"Automated Attendance System ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 5, page no.a163-a167, May-2022, Available :http://www.jetir.org/papers/JETIR2205020.pdf

"Automated Attendance System ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 5, page no. ppa163-a167, May-2022, Available at : http://www.jetir.org/papers/JETIR2205020.pdf