Our current research has focused on developing an autonomous early fire detection software. To do so we use machine learning and over 200 fire tower cameras. Our hope is to accurately locate potential small fires and confirm them using other detectors, like satellite imagery. Our current system has an accuracy of ~95%. To read more check out our page on smoke detection.
FUEGO’s ultimate goal is to integrate multiple detection systems to detect, monitor, and simulate fires. With that in mind intelligence and data assimilation driven simulations are essential aspects of our work. Check out their pages to learn more.