Advanced Computer Vision for Road Intelligence
Our deep learning algorithms analyze road surfaces with 98.7% accuracy, detecting potholes, cracks, surface degradation, lane markings, traffic violations, and hazardous conditions. The system processes visual data from dashcams, drones, and fixed cameras, identifying issues that human inspectors might miss. Real-time classification includes severity scoring, GPS coordinates, and photographic evidence—all processed in milliseconds to enable immediate response and preventive maintenance.

