Pothole Detection and Reporting System

Abstract

Abstract: Potholes on roads are the major problem for citizens acting as pedestrians as well as drivers. Government bodies which consist of engineers and workers are responsible to detect damages on roads and fix those damages. A recent study stated that every year around 3,597 people die due to potholes. The size and depth of the pothole may vary in a different place. Potholes had to be taken seriously. This system consists of a citizen with a handheld android/ios device with internet and GPS enabled, gathering the data in form of images and reporting to the government along with Geo-location. The study focuses on collecting and analyzing the datasets of potholes that are clicked by the users and detection of a pothole in that image via the TensorFlow Lite Model. The object detection system TensorFlow Lite is used for detecting the potholes, it shows that we can identify potholes from images clicked by the citizens and uploaded by the same application on the server and if a pothole is detected it ensures the complete reporting to the municipal authority along with the location. Index Term: Potholes, Android, GPS, Geo-location, Tensor- Flow Lite, Datasets, Reporting.