border-security

An AI-powered smart border surveillance system built with Python, OpenCV, YOLOv8, and face recognition to detect intrusions, identify known individuals, detect weapons, and generate real-time security alerts.

AI model for Border security surveillance using Drone

Simulation-only quantum sensor fusion (QSFM) — seeded demo, CI, MIT, patent pending (dual-use).

Zamna is a GDPR-compliant digital identity and passenger-data verification platform for the aviation and travel industry, used by airlines, airports, ground handlers and governments to verify passport, visa and health documents before a traveler reaches the airport.

AI-powered border surveillance system with multi-sensor data fusion, YOLO-based detection, anomaly scoring (Isolation Forest), threat classification (Random Forest), and post-quantum cryptographic signature chaining for secure, tamper-evident intelligence.

Operational security checklist for journalists, NGO workers, and high-risk professionals. Maintained by Predaxia.