How NexaMesh Detects Threats
Passive detection only — NexaMesh does not jam, spoof, or interfere with any signal. Six sensor and intelligence layers work in concert to detect, classify, and record.
RF Signature Analysis
Passive monitoring of RF spectrum detects control links, video downlinks, and telemetry signals — without transmitting or jamming.
Visual AI Detection
On-device computer vision classifies drone type, trajectory, and intent from optical cameras — effective against RF-silent autonomous threats.
Acoustic Detection
Microphone arrays identify motor signatures and propeller frequencies unique to drone platforms — works in low-visibility conditions.
Multi-Sensor Fusion
RF, optical, and acoustic channels vote in consensus — cross-validation eliminates false positives and catches threats that fool single sensors.
Mesh Node Coordination
Distributed nodes share detections via encrypted peer mesh — no cloud required. Tracks multi-vector incursions and swarm formations across the full perimeter.
Blockchain Evidence Chain
Every detection event is SHA-256 hashed and anchored on-chain the moment network is available — tamper-proof chain of custody for legal proceedings.
Why Passive Detection Matters
RF jamming and GPS spoofing are illegal for civilian use in most jurisdictions and carry ITAR/EAR restrictions. NexaMesh's passive-only architecture means it can be deployed by airports, utilities, and event operators without regulatory permits — detection first, response by authorized personnel.