improving fire management
Every year wildfires burn hotter and bigger but firefighting resources are becoming more scarce. Our goal is to help reduce the strain on firefighting assets at wildfires during the containment and mop-up phases of the fire.
Fireline Analyzer is a thermal image analyzation tool that collects pixel-wise temperature data from thermographic images captured along a fire's boundaries and returns location information of where the custom-trained machine-learning model is detecting the most heat activity.
The tried and true method of mopping up a fire after containment is tried and true for a reason; nothing beats boots on the ground. But what if we could use modern resources to better direct those resources where they are needed most?
When resources are limited, speed and efficiency come in to play. If an agency employs Unmanned Aerial Vehicles equiped with thermal imaging, they can direct those resources to capture thermal images of their containment line, upload the images to Fireline Analyzer, and get results quicker and safer than having firefighters on the ground manually scoure for hidden hot spot or the same UAV pilot risk their aircraft by playing double-duty and analyzing their camera view while they should be concentrating on flying.