AI-Based Real-Time Road Quality Monitoring System

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  Ai based Road Quality Abstract

Artificial Intelligence (AI) is improving infrastructure management through automated monitoring and analysis. Road surface defects such as potholes and cracks can cause accidents and vehicle damage, while traditional inspection methods are slow and inefficient.

This project proposes an AI-based real-time road quality monitoring system using computer vision, IoT, and sensor technologies. A camera captures road images, which are processed using deep learning models to detect defects. IoT sensors such as accelerometers and gyroscopes identify vibrations caused by damaged roads, while GPS records the exact location of each defect.

The system uses cloud computing to store and analyze data and provides a web-based dashboard for real-time monitoring and maintenance planning. With low-cost hardware components, the system offers a scalable and efficient solution to improve road safety and infrastructure management.

Built With

• java