A Python application for facial recognition attendance using OpenCV, Haar Cascades, LBPH, and SQLite. It captures real-time webcam images, trains a face recognition model, registers users, and logs attendance in local CSV files.
From the README
Facial Recognition Attendance System A Python-based facial recognition application that uses OpenCV, Haar Cascade face detection, LBPH face recognition, and SQLite to identify registered users and record attendance locally. Features • Real-time face detection using OpenCV Haar Cascades • Webcam-based face dataset collection • LBPH face-recognition model training • SQLite-based user registration and lookup • Real-time identification of registered users • Automatic attendance logging to daily CSV files • Local processing without a cloud API • Generated biometric data and models excluded from Git Architecture Webcam v Haar Cascade Face Detection v LBPH Face Recognition +---- SQLite User...
Skills
- Python
