Face Detection and Recognition
Project Information
View on GitHub- Category: Deep Learning/Computer Vision
- Technologies: OpenCV FaceNet Python
- Project Date: December 2023
- Dataset: Custom Collected (50 identities)
- Accuracy: 94.3% on test set
Face Detection and Recognition System
A face recognition system that detects faces and matches them against a database of known individuals.
Technical Architecture
- Two-stage pipeline: detection → recognition
- Haar cascades for face detection
- FaceNet embeddings for face representation
- Cosine similarity for matching
Key Features
- Real-time face detection and recognition
- Database management for known individuals
- Attendance tracking system integration
- Access control system prototype
