COMPUTERIZED ROAD DAMAGE DISCOVERY UTILIZING UAV PICTURES AND PROFOUND LEARNING METHODS

Abstract

This project presents an intelligent and automated system for detecting road damage using unmanned aerial vehicle (UAV) imagery combined with advanced deep learning techniques. Traditional road inspection methods rely heavily on manual surveys, which are time-consuming, labor-intensive, and prone to human error. To address these limitations, the proposed system utilizes UAVs to capture high-resolution images of road surfaces, nabling efficient coverage of large and hard-to-access areas