Autonomous Wildfire Detection
Detecting wildfires from the sky
before they become disasters
AI-powered drone patrols that detect wildfires in minutes, not hours.
Autonomous Wildfire Detection
AI-powered drone patrols that detect wildfires in minutes, not hours.
Climate change has turned wildfires from seasonal events into a year-round crisis. Current detection methods were designed for a world that no longer exists.
Blind spots everywhere there are no towers. Can’t see behind ridges, into valleys, or across remote terrain.
Hours between passes. By the time a satellite spots a fire, it may already be beyond containment.
~1 sensor per hectare. Massive deployment cost, maintenance-intensive in remote terrain.
No AI detection, just heat maps for humans to watch. 30-minute flight time. Require a trained pilot on site.
Sparkhawk deploys autonomous long-range drones with onboard AI to detect wildfires at their earliest stage, from the first wisps of smoke.
Video coming soon
A long-range fixed-wing platform that launches from any clearing, patrols for hours, and carries its own AI detection system on board.
Design targets for the production aircraft.
Launches from a small clearing with no airstrip and no ground infrastructure, then cruises in efficient fixed-wing flight for hours of coverage.
An onboard edge computer runs the fire-detection AI in the air. Detection doesn’t depend on streaming video to the ground first.
Live annotated video, position, and alerts stream to the ground station over a resilient long-range digital link.
Flies pre-planned patrol routes autonomously, with return-to-home safety behaviours built in.
Our detection model analyses the live camera feed in real-time, on board the aircraft. It classifies smoke and flame, grades severity, and confirms each detection across frames to suppress false alarms.
Actual output of the Sparkhawk detection model on live wildfire imagery: smoke classified with confidence scores and severity grades, kilometres before flames spread.
The ground station shows the patrol route, live position, and the AI-annotated camera feed in one view. When the aircraft flags smoke, the operator decides in one click: orbit the fire, mark and continue, or dismiss.
Live flight view during a detection: patrol route, real-time telemetry, annotated camera feed, and the alert prompt with the fire’s coordinates.
Every detection arrives with confidence, GPS coordinates, estimated distance, and image proof, graded from LOW to CRITICAL by real fire size.
Fires appear as geolocated markers on the mission map the moment they are confirmed, alongside the route and the aircraft itself.
Confirmed alerts go to emergency services instantly, with the coordinates and snapshot attached. Multiple operators see the same state in real-time.
We’re actively looking for partners to help us grow and take Sparkhawk from prototype to operational fleet.
Launch from any location, no runway or ground infrastructure needed. Efficient fixed-wing flight for wide-area coverage.
Autonomous weather-optimised routes. The drone covers highest-risk areas first, adapting in real-time to changing conditions.
Onboard AI analyses live video in real-time. Smoke and fire detected within seconds with high accuracy.
GPS coordinates and detection data sent to emergency services instantly. One-click alert dispatch from the command dashboard.
Government agencies responsible for wildfire response across the Mediterranean and beyond. Early detection saves lives and reduces response costs.
Olive groves take 15–20 years to reach full production. A single fire destroys decades of investment. Protect vineyards, orchards, and farmland.
PG&E’s $30B+ wildfire liabilities sent shockwaves through the industry. European utilities are investing in prevention before it’s too late.
Protecting high-value timber assets: eucalyptus plantations, pine forests across the Mediterranean. Minutes of early warning prevent millions in losses.
Sparkhawk is built by a team with combined expertise spanning defence systems, live streaming infrastructure, and AI/ML engineering.
Interested in piloting Sparkhawk, investing, or partnering? We’d love to hear from you.