

We deliver proactive wildfire management intelligence via a data-driven framework, integrating the Farsight™ VTOL Fixed-Wing UAV System, multi-modal sensing, and Swift4D Analytics Platform. Combining near-real-time satellite data, high-frequency aerial surveys, and SwiftAI-powered detection, we enable cm-level hotspot verification, dynamic fire perimeter mapping, and rapid spread modeling—optimizing emergency response, firefighting coordination, and post-fire recovery for forestry agencies and fire departments.
Our Differentiated Solution Framework
1. Stereo Perception & High-Frequency Data Acquisition
Deploy "UAV full-area scanning + tower fixed-point supplementary monitoring" to eliminate blind spots.
The Farsight™ System covers over 3,000 km² per hangar (30-50 km operational radius) with 150-minute endurance and 5-minute autonomous battery swapping.
Capture thermal infrared, LiDAR, and hyperspectral data for cm-level 3D modeling and precise fire source localization.
2. SwiftAI-Powered Intelligence & Real-Time Alerting
SwiftAI algorithm warehouse detects smoke, flames, and high-temperature anomalies within 10 minutes, with near-zero false alarms.
Implement "SwiftAI initial screening → UAV verification → responder dispatch" three-level response loop.
Generate real-time fire spread forecasts and 3D situational sandboxes via Swift4D for data-driven decision-making.
3. End-to-End Operational Coordination & Post-Fire Assessment
Synchronize UAV real-time feeds, terrain models, and responder data on Swift4D’s unified dashboard for air-ground collaborative command.
Deploy UAVs within 72 hours post-fire for cm-level burn scar mapping and vegetation loss quantification.
Track restoration progress via NDVI monitoring and automate compliance-ready reports.
Application Scenarios & Client Value
Application Scenario | Pain Points Addressed | Solution & Deliverables | Value to Client |
Large-Scale Forest Patrols | Monitoring blind spots; slow detection; high costs. | Farsight™ UAV high-frequency patrols; SwiftAI detection; 3,000+ km² coverage | 10-minute fire detection; 30-50% cost reduction; no blind spots |
High-Risk Area Surveillance | Inadequate nighttime monitoring; manual inefficiency | Targeted UAV patrols; thermal infrared monitoring; SwiftAI real-time alerts | Proactive hazard mitigation; enhanced patrol safety |
Emergency Command | Chaotic resource allocation; poor situational awareness | Swift4D 3D sandbox; real-time UAV feeds; unified command dashboard | 40% faster response; minimized firefighter risk |
Post-Fire Assessment & Restoration | Inaccurate damage quantification; slow data collection | cm-level burn scar mapping; Swift4D NDVI monitoring; restoration reports | Data-driven restoration planning; transparent stakeholder reporting |