SkyShield™ delivers passive, real-time drone detection using advanced RF signal analysis and machine-learning classification, enabling organizations to identify and track unmanned aerial systems (UAS) without transmitting any signals.
Developed from research conducted under the U.S. Navy’s NSWC and Old Dominion University’s VMASC program, SkyShield addresses a growing operational need: modern airspace threats evolve faster than traditional radar or optical systems can detect.
Where conventional counter-UAS tools rely on line-of-sight cameras or active radar emissions, SkyShield provides:
- Passive RF monitoring across 433 MHz, 2.4 GHz, and 5.8 GHz bands
- Machine-learning modulation classification using k-NN and CNN architectures
- Manufacturer-level signal differentiation via OFDM feature extraction
- High-accuracy detection—99% indoors and 90% at 1 km line-of-sight
- Distributed detection capability with TDOA/FDOA geolocation
Built for critical infrastructure, defense, event security, and enterprise facilities, SkyShield converts complex RF environments into actionable, real-time situational awareness while remaining fully passive and emission-free.
