Resilient AI Networks for Disaster Response
Autonomous mesh re-routing, real-time sensor fusion, and AI situational awareness that keeps first responders connected when fixed infrastructure fails.
Talk to an ExpertWhen Infrastructure Fails, the Network Adapts
Natural disasters, industrial accidents, and mass casualty events destroy the fixed infrastructure that emergency services depend on. OranSense Disaster Management deploys a self-healing edge AI network that maintains connectivity and situational awareness even when towers, fibre, and power are lost.
Portable edge nodes with on-board AI inference form an autonomous mesh, fusing data from drones, ground sensors, body cameras, and satellite feeds. Incident commanders receive a unified operational picture in real time — without a single fixed network element.
Key Capabilities
Autonomous Mesh Networking
Self-forming, self-healing mesh network using portable 5G nodes. Automatically re-routes around failed links and extends coverage into disaster zones without manual configuration.
Multi-Source Sensor Fusion
Fuse data from UAV cameras, ground sensors, thermal imagers, and satellite feeds into a single AI-processed operational picture. Identify survivors, hazards, and access routes in real time.
First Responder Coordination
Real-time location tracking and push-to-talk over the mesh. AI assigns tasks, routes teams to priority areas, and monitors personnel safety with automatic distress detection.
Predictive Hazard Mapping
AI models analyse structural data, weather feeds, and sensor readings to predict secondary hazards — building collapse risk, flood progression, fire spread — and update responder routes.
Satellite Backhaul Integration
When terrestrial backhaul is severed, the edge network automatically fails over to LEO satellite links. Maintain command connectivity regardless of ground infrastructure status.
Incident Command Dashboard
Unified real-time dashboard for incident commanders. AI-generated situation reports, resource tracking, and predictive resource demand forecasting updated every 30 seconds.