AI-enabled sensors are being used in Santa Clara County, California, to detect small wildfires before they spread, in an effort to prevent further devastation caused by wildfires in the state. These sensors measure air particles and temperatures, and AI analyzes the data to identify potential fires. The sooner fires are detected, the quicker they can be extinguished, resulting in less damage to people, structures, and the environment.
The Washington Department of Natural Resources is partnering with T-Mobile and Pano AI to install a network of cameras equipped with artificial intelligence to detect wildfires in remote areas, improving response time and alerting nearby communities.
Danish start-up Robotto has developed a drone that uses artificial intelligence to track and monitor wildfires in real-time, providing firefighters with up-to-date information to make informed decisions and allocate resources effectively. The technology has already been tested by Catalonia's wildfire fighting unit and is also being used for other applications such as monitoring wildlife and preventing poaching.
AI-powered tools developed by AltaML are helping duty officers in Alberta Wildfire, Canada's forest firefighting agency, make better decisions regarding the positioning of resources to combat wildfires. The tools analyze data points and use machine learning to predict the likelihood of new fires, optimizing resource allocation and saving costs. The models have been successful in accurately predicting wildfire occurrences 80% of the time. This technology aims to improve cost efficiency and ensure resources are in the right place at the right time to respond to fires.
New cameras in Washington state are using artificial intelligence to detect wildfires, allowing crews to respond faster and prioritize resources more effectively.
