• Yash Nilapwar
• Swapnil Dhingane
• Varad Nawale
• Akash Algat

Attendance tracking systems have become an important part of educational institutions and organizations in recent years. Traditional attendance tracking systems rely on manual methods such as signing in and out or using a barcode reader. These methods, albeit effective, can be time-consuming and prone to errors. Moreover, they are not secure, as they can be easily manipulated or tampered with. In this paper, we present a real-time image-based attendance system that is capable of automatically recognizing and registering the attendance of a person in a classroom or organization. The proposed system utilizes facial recognition technology to identify a person's face and compare it with a database of registered images for attendance tracking. The system is designed to be fast, accurate, and reliable. Additionally, the system provides a secure, efficient, and cost-effective solution for attendance tracking in educational institutions and organizations.

Attendance system, Automatic attendance, Image processing, Face detection, Feature matching, Face recognition.

"Real Time Image Based Attendance System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 3, page no.f129-f131, March-2023, Available :http://www.jetir.org/papers/JETIR2303514.pdf

"Real Time Image Based Attendance System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 3, page no. ppf129-f131, March-2023, Available at : http://www.jetir.org/papers/JETIR2303514.pdf