Vision-Based Intelligent Attendance System Using Real-Time Facial Recognition and Liveness Detection
Authors:-Kanishkar K, 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, Tainter, 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.
