• Dhanyashree
• Preethi CG
• Likhitha
• Prof. Madhusudhan S
• Prof. Daya Naik

In today’s educational landscape, keeping track of student attendance in a systematic and efficient way is essential for promoting accountability and student engagement. Traditional face-to-face attendance methods in classrooms are often time-consuming, repetitive, and prone to error, revealing a clear need for automation. To address this, our project introduces a Smart Attendance System that leverages facial recognition technology to simplify and improve the attendance process. Using a computer webcam, the system captures color images of students' faces during class sessions. These facial features are then encoded and securely stored in a database. When students attend future classes, the system automatically detects and recognizes them in real time, marking their attendance without any manual effort. Instructors can generate detailed attendance reports at any time, making classroom management easier and more reliable. This automated approach not only reduces the time and effort spent on traditional attendance tracking but also ensures greater accuracy and data security. By integrating smart technology into the academic setting, this system enhances interaction between educators and students, supports institutional efficiency, and encourages the broader adoption of innovative, automated solutions in education.

SMART ATTENDANCE SYSTEM USING FACE RECOGNITION

"SMART ATTENDANCE SYSTEM USING FACE RECOGNITION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 7, page no.709-714, July-2025, Available :http://www.jetir.org/papers/JETIRGX06133.pdf

"SMART ATTENDANCE SYSTEM USING FACE RECOGNITION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 7, page no. pp709-714, July-2025, Available at : http://www.jetir.org/papers/JETIRGX06133.pdf