Independent sensor outputs do not converge into a single, immediate operational picture.
Systems do not effectively guide attention to areas of interest or enable seamless handoff across sensors.
Detection-to-response timelines are constrained as coverage and data volume increase.
Systems detect motion but do not consistently build situational understanding over time.
Multi-sensor fusion and mesh-level sharing of detections to produce high-confidence events.
Deviation from learned baseline triggers alerts, filtering out routine activity and noise.
Unsupervised learning of site-specific pattern-of-life built continuously from observed activity.
Persistent tracking with ID continuity across frames and cross-camera handoff over the mesh.
Fine-grained classification including threat cues such as armed/unarmed, vehicle type, and group behaviour.
Multi-class object detection (human, vehicle, animal) running on each sensor node.
Single-person deployable surveillance.
Designed for rapid installation and reliable monitoring across urban and industrial environments.
Deployment: Urban security, smart cities, industrial sites.
Scalable perimeter monitoring.
Designed for sustained operation across large, high-security sites.
Deployment: Airports, power plants, military bases, high-security sites.
Spanning land to ultra-long-range naval operations, with extended detection, stabilisation, and radar fusion capabilities.
Deployment: Border surveillance, counter-UAS, naval and coastal operations, offshore platforms, strategic maritime monitoring.
The platform integrates directly with established EO/IR manufacturer RRP Dedense’s deployed systems, extending intelligence capability without replacing certified hardware.
This partnership currently places FX-GROUND in live perimeter environments, under real operational constraints.
