Wildfire Detector

Early Detection of Wild Fires Using Drones and Machine Learning

By Tanisha Sethi, Mario Cruz, and Erin Isabel Anand

In order to combat wildfires we explore deploying autonomous drones with fire detection capabilities to enhance early identification and situational awareness. Some key advantages are: (1) Overcoming terrain barriers: Drones can navigate rugged, inaccessible regions where ground sensors or cameras are ineffective; (2) Enhanced Detection Resolution: Flying at lower altitudes provides higher-fidelity imagery for machine-learning-based fire recognition; and (3) Smoke Adaptability: Drones can operate beneath or around dense smoke plumes from active fires to identify new ignition points nearby.
The target users are: (1) Public Agencies such as National Inter-agency Fire Center, the U.S. Forest Service, the California Department of Forestry and Fire Protection (currently handling 7855 wildfire). (2) Critical infrastructure operators such as Pacific Gas & Electric, large private landowners, such as owners of large vineyards/wineries or owners of large ranches.

Get the complete PDF report..

Share: LinkedIn