We built an AI-driven road monitoring system that analyzes live camera feeds and drone footage to detect potholes and trigger real-time maintenance alerts for city authorities.
Public safety risks due to undetected potholes
Increased road repair costs
Lack of visibility into city-wide infrastructure issues
Poor citizen experience and rising complaint tickets
Data Collection through UAVs and roadside cameras
Preprocessing : using OpenCV + geospatial alignment
Transfer Learning in TensorFlow/PyTorch to accelerate training
Real-Time Alerting System: for field teams
Maintenance Dashboard for reporting, mapping, and analytics
Our continuous 24×7 automated road monitoring system enables faster detection of issues, leading to quicker repairs and ultimately fewer accidents. By leveraging predictive analytics, it supports efficient budgeting and strategic planning for infrastructure maintenance. This approach also results in a significant reduction in manual inspection efforts, enhancing overall operational efficiency and safety on the roads.
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