• Preeti Pandey
• Krishna Desai
• Atharva Salvi

The traditional methods of maintaining attendance, such as manual registers, RFID cards, and biometric systems, often suffer from inefficiencies, errors, and chances of misuse such as proxy attendance. To overcome these limitations, this project introduces an automated Face Recognition Attendance System that leverages computer vision and machine learning techniques to provide a secure, reliable, and efficient solution for attendance management. The system employs a webcam to capture live video input, detects and recognizes faces in real-time using the Face_Recognition library, and logs attendance automatically. Unlike basic systems that only mark presence, this project records both Time-In and Time-Out, enabling accurate tracking of entry and exit times. The system is designed for use in educational institutions, workplaces, and secure facilities where monitoring attendance and working hours is crucial.

AI, Machine Learning, Dashboard, OpenCv, Face Recognition, Python, Attendance System

"FACE RECOGNITION ATTENDANCE SYSTEM USING AI", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.13, Issue 2, page no.a595-a599, February-2026, Available :http://www.jetir.org/papers/JETIR2602081.pdf

"FACE RECOGNITION ATTENDANCE SYSTEM USING AI", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.13, Issue 2, page no. ppa595-a599, February-2026, Available at : http://www.jetir.org/papers/JETIR2602081.pdf