Iot-Based Highway Potholes and Hump Detection

Abstract

Continuous monitoring of road conditions is essential for gathering information on roadway conditions, such as potholes, breaks, and other deformities, utilizing the latest technology. This data can enhance driver safety while reducing road repair costs. Traditional methods are time-consuming and expensive, resulting in limited coverage and slow response to road conditions. With the advancements in global networking and widespread use of mobile devices, information can be collected over long distances using built-in sensors in cell phones and in-vehicle video systems. Identifying street potholes using this information is of genuine and significant consequence. Current approaches utilize image recognition techniques based on deep learning or speed-up sequence classification algorithms. These road anomalies can cause vehicle damage and have been involved in several incidents leading to expensive repairs. The cost-effective method proposed in this study provides drivers with immediate warnings about potholes or speed bumps.The proposed system consists of three subunits: the sensor subunit, the server subunit, and the user component. The GPS receiver retrieves the position coordinates of potholes and humps detected by an ultrasonic sensor at the sensing subunit. This information is stored in a separate subunit database. A hardware module installed at the user subunit promptly informs drivers about potholes and speed bumps.This project aims to identify potholes using an ultrasonic sensor and an ESP-32 microcontroller. The system utilizes GPS to relay the location of these potholes to experts, enabling them to take action to maintain the roads and assist drivers in preventing accidents. Alerts are displayed on LCDs to provide drivers with timely information.