Impact Factor (2025): 6.9
DOI Prefix: 10.47001/IRJIET
Vol 10 No 4 (2026): Volume 10, Issue 4, April 2026 | Pages: 153-159
International Research Journal of Innovations in Engineering and Technology
OPEN ACCESS | Research Article | Published Date: 15-04-2026
Smart Attendance System is an AI-based solution that automates attendance marking using face recognition technology. The system captures real-time video, detects faces, and marks attendance accurately without manual intervention. It integrates computer vision, machine learning, and a Flask-based web interface for efficient management. The system reduces proxy attendance and eliminates manual data entry errors. It uses Python, OpenCV, and the face recognition library to encode and match student faces against a stored dataset. The timetable is automatically identified using OpenPyXL to map the correct subject. This cost-effective, scalable solution is well-suited for modern educational institutions seeking to modernize their attendance workflows.
Face Recognition, Attendance System, Computer Vision, Machine Learning, OpenCV, Flask, SQLite, Python
Mridul Paradkar, Sunaina Sahu, Harshal Salekar, Diya Singh, Prof. Manisha Hatkar. (2026). Smart Attendance System Using Facial Recognition. International Research Journal of Innovations in Engineering and Technology - IRJIET, 10(4), 153-159. Article DOI https://doi.org/10.47001/IRJIET/2026.104022
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