FFT Aura Ai-X is the latest generation of fiber optic-based intrusion detection technology powered by Deep Learning. Its continuous improvement capability reduces false alarms (NAR) to nearly zero while maintaining the highest probability of detection (POD).
Unmatched Performance✔ High event classification accuracy, achieving POD > 95% with minimal false alarms.
✔ Superior to any other commercial system.
✔ Eliminates the need for constant on-site adjustments and manual updates.
✔ Backed by FFT’s Global Data Library and advanced Deep Learning models.
Location: Port in the Middle East, 32 km perimeter.
Extreme conditions: Winds over 60 km/h.
Intrusion Tests:
❌ Without Deep Learning: POD 80.8%, 17 false alarms.
✅ With Deep Learning: POD 96.9%, 0 false alarms.
✔ Fiber optic sensor mounted on fences (up to 10 km, 5 km per channel).
✔ Intrusion detection with ±2m accuracy.
✔ Real-time monitoring on two simultaneous channels.
✔ Cut immunity and redundancy for maximum security.
✔ No electronics or power in the field, safe from interference and lightning.
✔ Compact technology (4RU) with advanced optoelectronics.
✔ Lower total cost of ownership compared to other technologies.
✔ Guaranteed cybersecurity, tested against attacks with MTBF >250,000 hours.
The FFT Deep Learning engine uses globally collected data to train advanced models. These models are deployed to Aura Ai-XS via encrypted transfer, enabling real-time detection and classification with high accuracy and minimal false alarms.
