Intelligent Attendance Tracking System VIA Webcam

Authors- Mohammad Ubaid, Zaid Khan, Mohammed Maarij Ahmad, Sufiyan Ali, Professor A. D. Sawant

Abstract-– Attendance tracking is a crucial aspect of educational institutions and workplaces. Traditional attendance systems, such as manual entry and RFID-based methods, are often prone to errors, inefficiencies, and proxies. This paper presents an intelligent attendance tracking system utilizing webcam-based facial recognition technology. The system leverages computer vision and machine learning techniques to automate attendance marking, ensuring accuracy and reducing human intervention. The implementation is done using Python, employing libraries such as OpenCV, Face Recognition, Tkinter, and Excel manipulation tools.

DOI: /10.61463/ijset.vol.13.issue2.305