Studying the Use of Unmanned Aerial Vehicles (UAVs) for Remote Sensing and Artificial Intelligence-Based Early Warning Systems in the Event of a FloodStudying the Use of Unmanned Aerial Vehicles (UAVs) for Remote Sensing and Artificial Intelligence-Based

Abstract

This study investigates the monitoring and early warning technology of flood disasters, using UAV far-flung sensing science and synthetic brain algorithms. First, the science of flood disaster sensing from afar is reviewed. Next, we'll take a look at how UAV far-flung sensing scientific software for flood disaster monitoring works when combined with GIS technology. Lastly, by integrating micro-UAV and AI technologies, the study of the micro-UAV key device and the search for AI imaginative and prescient key technology are conducted, as are the key applied sciences of the micro-UAV flood catastrophe monitoring and early warning system based on AI vision. A micro-UAV's attitude is defined by its primary device search. Mindset The concept of CNN is explained and Faster RCNN is introduced in a creative and futuristic overview of important AI applications. This study paves the way for future research on early warning systems for floods that use unmanned aerial vehicle (UAV) remote sensing and artificial intelligence (AI) techniques.