Vision-Based Intelligent Attendance System Using Real-Time Facial Recognition and Liveness Detection

Authors- Kanishkar K, Assistant Professor Nandhini K

Abstract--The suggested system automates and improves the accuracy of attendance management in business and academic settings by presenting an intelligent vision- based attendance tracking solution that makes use of biometric facial recognition. The system securely records attendance, captures real-time facial data, and verifies identities against a pre-registered database by utilizing real-time face detection and recognition technologies. The system, which was created with Python, OpenCV, Tkinter, SQLite, and a face recognition module, provides administrators with an easy-to-use interface for managing student profiles and creating attendance records. A backend database and graphical user dashboard are integrated to guarantee real- time processing, reduce human error, and successfully block proxy attendance. This solution supports the development of intelligent institutional infrastructure by offering a scalable, safe, and effective substitute for conventional attendance techniques.

DOI: /10.61463/ijset.vol.13.issue3.150