Smart Rescue Drones to Find Snowslide Victims

In the approach of using autonomous robots to find victims on risk zones, there are specific ones that can reach the victims faster, the Unmanned Autonomous Vehicles (UAVs), better known as Drones. For this to happen, artificial intelligence algorithms were designed to teach them to search for the victims faster. On this paper, a simulation of three drones flying on different environments was made based on a Hidden Markov Models with KNN classifier as an artificial intelligence approach for the learning. The results revealed that for some environments, based on memory to store the paths and the classification of the objects, different hardware settings for the drones can be needed.