• Vasudha Yalla
• P. Gayatri

This project presents a real-time facial recognition-based attendance management system. It utilizes computer vision techniques to accurately identify and track individuals for attendance purposes. The system employs facial recognition algorithms, including face detection, feature extraction, and matching techniques. It operates in real-time and is suitable for educational institutions, corporate offices, and events. The system comprises a camera module, face detection algorithm, and facial recognition algorithm, leveraging machine learning to continually improve recognition capabilities. It automates attendance tracking, reducing administrative burdens, preventing proxy attendance, and enhancing security. Real-time notifications, reports, and integration with existing infrastructure further enhance functionality, offering an efficient solution for attendance management.

Open CV, Computer vision, Face detection, Face recognition, K-nearest-neighbors, cv2, Detection-model.

"REAL-TIME FACIAL RECOGNIZATION BASED ATTENDANCE SYSTEM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 6, page no.j689-j699, July-2023, Available :http://www.jetir.org/papers/JETIR2306982.pdf

"REAL-TIME FACIAL RECOGNIZATION BASED ATTENDANCE SYSTEM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 6, page no. ppj689-j699, July-2023, Available at : http://www.jetir.org/papers/JETIR2306982.pdf