Revolutionizing Road Safety: An Innovative Approach to Pothole Detection and Prevention Using XAI and Deep Learning

This paper presents an automated pothole detection system using deep learning, and Explainable AI (XAI), which improves model transparency and decision-making. High-quality images and videos undergo image processing, including edge detection, feature extraction, and deep learning, enabling precise identification and classification of potholes, even in challenging environments. Evaluating potholes is crucial for road maintenance, safety, and reducing costs related to vehicle damage and road repairs. Traditional methods, such as manual inspections and sensors, are costly and time-consuming. The proposed real-time system can spot problem areas before they become severe potholes.