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Abstract
Real-Time Pothole Detection and Preemptive Driver Warning System Using Image Recognition and GPS - Volume -3 | Issue - 1 | 2025, (OCT - DEC)

Pages:1-8

Category: Engineering & Technology

Published Date: 31-Dec-2025

Graphical Abstract

Mohammed Miskeen Ali, Dr. Khaja Masthan

Keywords:

Pothole detection, real-time alert, convolutional neural network, GPS, image recognition, geofencing.

Abstract:
Abstract-Potholes are a persistent problem for road infrastructure, posing safety risks to drivers, causing vehicle damage, accidents, and costly repairs. This paper presents a real-time pothole detection system that utilizes 360-degree cameras and image recognition techniques using Convolutional Neural Networks (CNNs). By leveraging GPS data, the system also geotags pothole locations and alerts drivers within a 200-meter radius of detected potholes via mobile notifications. The system also notifies local authorities for repair interventions. With a detection accuracy of 90%, the system offers an efficient solution for improving road safety and maintenance through real-time detection, Geo location, and automated notifications.
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