The Assay of Potholes and Road Damage Detection

Abstract

Road conditions with holes are a common cause of accidents in a traffic environment. For motorcycle riders, car drivers, and other vehicle drivers, this can be fatal. For driving comfort, transportation safety, and infrastructure integrity, road surface monitoring and maintenance are critical. As a result, by identifying pot holes on the highway, this article seeks to develop a road contour damage information system. In this work, we suggest an Android-based application for executing data collecting points for government entities such as the NHAI and municipalities, among others. To create the app, we trained a model to recognize whether or not an image has a pothole. If a pothole is detected, the image is saved on a server, where it can subsequently be retrieved by appropriate authorities for maintenance and analysis. Instead of using the classic paper pen method, government personnel can utilise this mobile app to collect data. We plan to limit the quantity of photographs a person can upload because data can be very large. The findings of this study are expected to play a significant role in guaranteeing safe driving in the future by effectively detecting poor road conditions.