Fireball.International

Fireball - Automated real-time wildfire detection and tracking Currently, the detection of a wildfire relies on the human eye. Wildfires are often reported 15 minutes or more after ignition. Early detection and intelligence empower rapid and effective fire suppression and protection of the public. Fireball.International offers an intelligence system that reports wildfires as early as three minutes after the fire starts, using powerful deep machine learning algorithms, that detect fires early and evaluate their growth. The company recently secured a substantial contract in California. Proven Technology On the night of October 23, 2019, a satellite used by Fireball detected the Kincade fire in California 66 seconds after it began due to a fallen power line. Using the ground-based ALERT Wildfire sensor network, the Fireball intelligence system confirmed the fire within three minutes even though it was dark, and the fire was in a canyon not directly visible to the sensor. The explosive fire growth was so clear from the data that authorities were immediately alerted and a town 10 km away was evacuated 20 minutes after ignition. The fire department had yet to physically assess the blaze. Fireball uses automated machine-learning-based image analysis to offer what is demonstrably the fastest way to detect even small fires before they become major ones, and real-time image analysis of both small and major fires to provide real-time on-screen simultaneous fire intelligence for firefighting teams across different locations. In San Diego County alone, Fireball reported 494 fires in October and November. Last week the system detected and confirmed an unauthorised debris burn in the remote mountains of San Diego County, six minutes after it was lit, even though it was the middle of winter. Fireball’s system provides early fire detection and mapping services protecting infrastructure and populations.