New AI prediction model could transform how Canada fights wildfires - University of Toronto Institute for Aerospace Studies

An AI model segments flames and smoke in aerial footage, helping researchers track wildfire growth and build more accurate predictions. (photo courtesy of Steven Waslander)

As wildfires grow larger, faster and impact more communities across Canada, researchers at the University of Toronto Institute for Aerospace Studies (UTIAS) are developing new technology that could give first responders a critical advantage: the ability to predict how a fire will evolve hours into the future.

Professor Steven Waslander (UTIAS) is working with researchers at Natural Resources Canada and Simon Fraser University on TankerVision — a project aimed at creating more accurate, AI-powered fire prediction models.

Such tools could help inform key decisions about firefighting resource allocation and evacuations.

The team has partnered with government agencies and industry, including BC Wildfire, Alberta Wildfire, Canadian Forestry Services, aircraft operator Conair Aerial Firefighting, and Voxelis, a wildfire monitoring service provider.

Full article on U of T Engineering News