Particle.news
Download on the App Store

Rotenburg Pilots AI Drones for Early Wildfire Detection in Public Field Test

Backed by Hesse’s Starke Heimat program, the trial aims to prove a faster, lower‑cost path to real‑time wildfire alerts for emergency services.

Overview

  • A Quantum Systems drone with high‑resolution optical and thermal cameras flew over the Alheimer on October 8 to demonstrate flight stability, sensor performance and data links under real conditions.
  • Sensor streams fed an analysis platform where artificial intelligence flagged early indicators such as smoke, heat shifts and vegetation stress, with results displayed live for municipal and fire service users.
  • The system supports voice control and is designed for minimal training needs, and it can also assess tree health to monitor broader forest conditions.
  • Firefighters staged a small controlled burn to validate detection, with organizers noting all flights were approved and that data collection focuses on thermal signals rather than identifiable personal imagery.
  • Urban Mobility Innovations leads the Kiwa pilot, which continues through validation to refine flight intervals and integration; developers say a broader rollout across Germany is planned if tests meet performance goals.