Developed an intelligent monitoring system that uses IoT sensors and deep learning algorithms to detect structural damage in bridges. The system processes vibration data in real-time and provides early warnings for maintenance needs.
AI-Powered Structural Health Monitoring System
Real-time damage detection using machine learning
Overview
Detailed Description
This project integrates wireless sensor networks with advanced machine learning models to create a comprehensive structural health monitoring solution. The system achieves 95% accuracy in damage detection and has been tested on three highway bridges in collaboration with the Department of Transportation.