FaceTrack360 is an intelligent surveillance system designed to integrate with multiple CCTV cameras and track individuals in real-time using facial recognition. It enhances premise security by providing live monitoring, automated entry logging, and optional criminal database integration for high-alert detection.
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🎥 Live Tracking Across Multiple CCTV Feeds
Connect and monitor various camera sources to track a person’s movement live within a facility. -
🧠 Facial Recognition-Based Identification
Identify and verify individuals in real-time using advanced facial recognition technology. -
📝 Automated Entry Logging
Replace manual logs, ID cards, or biometric scanners with seamless facial-based check-ins and entry records. -
🔒 Criminal Detection (Optional)
Integrate with national or local criminal databases to receive alerts on recognized suspects or persons of interest. -
📊 Audit Trail & Reporting
Maintain logs of all detections, timestamps, and camera locations for accountability and analysis.
- Corporate office security and attendance
- School/college entry systems
- Airports and railway stations
- Public surveillance in high-security zones
- Government facilities or smart city monitoring
- Python
- OpenCV – real-time computer vision
- Dlib / FaceNet / DeepFace – facial recognition libraries
- Flask or FastAPI – backend API
- SQLite / PostgreSQL – database for recordkeeping
- RTSP support – for live camera feeds
- Optional: Integration with national APIs or criminal watchlists
- Clone the repository:
git clone <repo_url> cd FaceTrack360