
XPRIZE Wildfire set out an audacious challenge to some of the largest organizations in the world. Create a system that can autonomously detect and suppress a wildfire within 10 minutes of it starting. Crossfire leveraged expertise from across the University of Maryland ecosystem, including the Department of Fire Protection Engineering, the only accredited graduate program of its type in the country, to create a system which included advanced drone-based fire monitoring and innovative airburst drone fire suppression payloads. Their system was completely grid and cloud independent, and could continue monitoring out in the wild for up to 3 weeks without recharging and maintenance. Out of over 200 initial teams from across the world, Crossfire became one of 15 finalist teams for XPRIZE Wildfire.










Some members of team Crossfire have continued development of advanced vision AI methods originally developed to distinguish between harmful wildfires and harmless campfires and prescribed fires and launched a company, Norden Labs, to bring these capabilities to industries needing mission critical visual intelligence most.