Face Recognition Attendance System
An end-to-end biometric solution designed to automate check-ins using Computer Vision. The system utilizes OpenCV for real-time video stream processing and FaceNet for deep learning-based facial feature encoding, achieving high-accuracy identification even in varying lighting conditions.
Technologies Used
Python
OpenCV
FaceNet (Deep Learning)
NumPy
CSV Logging
Image Processing
Key Features
✔ 128-d Encoding: Instant real-time facial matching.
✔ Auto-Logging: Direct export to CSV & Database.
✔ Scalable UI: Multi-user registration & management.
✔ Robust Detection: Optimized for multi-angle accuracy.