Automated Management of Pothole related Disasters Using Image Processing and Geotagging

TL;DR

This paper introduces an automated system that uses image processing and geotagging to efficiently identify, analyze, and manage potholes, improving disaster response and resource allocation.

Contribution

It presents a novel automated approach combining image processing and geotagging for pothole management, surpassing traditional survey methods.

Findings

Accurate pothole dimension estimation from images

Effective prioritization of pothole repairs

Automated resource estimation for filling materials

Abstract

Potholes though seem inconsequential, may cause accidents resulting in loss of human life. In this paper, we present an automated system to efficiently manage the potholes in a ward by deploying geotagging and image processing techniques that overcomes the drawbacks associated with the existing survey-oriented systems. Image processing is used for identification of target pothole regions in the 2D images using edge detection and morphological image processing operations. A method is developed to accurately estimate the dimensions of the potholes from their images, analyze their area and depth, estimate the quantity of filling material required and therefore enabling pothole attendance on a priority basis. This will further enable the government official to have a fully automated system for effectively managing pothole related disasters.