Customer challenges
Each sensing modality is strong exactly where another is weak, yet each arrives in its own format on its own console: acoustic hears what is hidden behind a treeline but cannot localise it precisely, radar gives range and speed but little identity, LiDAR gives geometry at short range, and infrared works when nothing is visible — so run separately they produce four partial answers and four alarms, and integrating them is bespoke work repeated at every site. Targets lose identity when they cross between sensors, since the same object becomes a new detection at every device and coverage gaps break the track entirely; where the drone itself is the sensor, its own motion has to be accounted for before anything it observes can be placed on a map at all; and reconstructing what happened means aligning several recordings by hand and hoping the clocks agree.
Customer benefits
Higher detection confidence, continuous target tracking, fewer nuisance alarms, and unified multi-sensor awareness.
Key features
IoT Collaboration / Synergy
Fuses IoT device data with camera detection for collaborative sensing.
Field Digital Twin
Provides a digital twin of the field.
Before & after
| Before | After — with Linker AI Nexa |
|---|---|
| Before Radar, visual, LiDAR, acoustic, and infrared sensors operate independently, producing fragmented alerts that operators must reconcile manually. | After — with Linker AI Nexa Multiple sensor observations are fused into one continuous target, incident, confidence level, and spatial trajectory. |