A new class of threat demands a new class of response.
Modern battlefields are saturated with low-cost commercial UAVs. Existing countermeasures rely on RF jamming, kinetic intercept, or high-energy laser destruction — each carrying significant operational, legal, or logistical constraints. A new class of threat demands a new class of response.
The Adaptive Adversarial Optical Disruption (AAOD) system is a ground-based autonomous counter-UAS platform that detects, classifies, and disrupts incoming UAV threats through directed infrared optical projection. Unlike conventional countermeasures, AAOD targets the UAV's onboard navigation and vision systems — causing behavioral disruption without RF emission, physical contact, or collateral damage.
Detect
Wide field-of-view optical detection with AI-powered drone classification via YOLOv8.
Classify
Navigation modality inference from visual, behavioral, and passive sensor signatures.
Target
Gimbal-mounted directed IR array with precision tracking and co-boresighted alignment camera.
Disrupt
Multi-mode adversarial optical projection matched to target sensor architecture. Patent pending.
BASILISK is the directed optical output module of the AAOD platform. It operates across five adaptive modes — from sub-threshold covert degradation to broadband adversarial destabilization — selected autonomously based on real-time classification pipeline outputs.
Full technical disclosure available under NDA to qualified government and prime contractor partners.