Advanced deep learning technology for real-time drone detection and neutralization with military-grade response times
Autonomous edge deployment for immediate threat response without network dependency
Intelligent cloud verification system for enhanced accuracy and threat classification
Lightweight, inexpensive drones are being weaponized in modern warfare, resulting in thousands of casualties and millions of dollars in damaged military equipment.
Current Counter UAS systems are failing to address this threat effectively:
RF Detection systems are expensive, easily jammed, and completely ineffective against autonomous drones that operate without radio signals (fiber optic).
Radar Systems struggle with small drone signatures and are vulnerable to electronic warfare tactics.
Acoustic Detection fails in noisy environments and has limited range capabilities.
Computer vision represents the most reliable and cost-effective approach to Counter UAS detection and neutralization, either as a standalone system or integrated with existing CUAS infrastructure.
Vision-based systems are passive - they cannot be jammed or detected, operating silently without emitting any signals that reveal their position.
Our deep learning models provide real-time detection with military-grade response times, enabling immediate threat neutralization before impact.
Unlike traditional systems, our vision model eliminates false positives from birds, debris, and weather conditions while operating on compact edge hardware without cloud dependency.
Choose from our specialized deep learning models tailored to your deployment needs
Complete edge-based Counter UAS model with real-time drone detection and tracking optimized for Jetson hardware deployment.
Cloud-based Counter UAS model that serves as a second stage verifier with lightweight vision processing designed to minimize false positives with low-latency performance.
Ready to deploy advanced Counter UAS technology? Contact us to discuss your requirements.