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Proactive Forest Fire Detection & Operational Monitoring

We deliver rapid wildfire intelligence by integrating near-real-time satellite data with our Farsight™ UAV System for targeted hotspot verification and perimeter mapping. Data is processed on our Swift4D analytics platform for active fire detection, spread modeling, and burn scar assessment. This enables optimized emergency response, including evacuation route planning and resource deployment, supporting firefighting coordination and post-fire recovery.

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