Mumbai, April 6 -- drivebuddyAI has been granted a patent for its Integrated Dynamic Road Quality Assessment System and Method. The technology autonomously detects and maps road surface deterioration, including potholes and hazardous conditions, by combining sensor data with deep learning-based computer vision.

The system utilises two data streams to evaluate road conditions. A GNSS sensor logs vehicle speed and geo-location, while an Inertial Measurement Unit (IMU) accelerometer captures changes across the X, Y and Z axes.

In real-time it detects anomalies, which are flagged when the Z-axis acceleration indicates a road defect. To prevent false detections, the system processes video data through a deep learning model to visually confir...