AI-Powered Road Surface Analysis
AI-powered road surface analysis leverages artificial intelligence by integrating machine learning and computer vision to assess and monitor pavement conditions with high accuracy and efficiency. For transportation agencies and city planners, it’s a game-changer—helping pinpoint maintenance needs, boost safety, and make smarter infrastructure investments.
AI tools scan imagery collected from road inspections to automatically identify:
- Pavement surface type
- Number of potholes
- Areas with weight cracking
- Total length of thermal cracks in a section
- Surface raveling extent
By integrating these AI-driven insights, agencies can streamline maintenance operations, reduce costs, enhance roadway safety, and significantly extend pavement life.
All results are securely stored in the cloud via the Road Plan Pavement Management System (PMS)—ready for reporting, research, and rock-solid decision-making.
Surface Type Recognizer identified road type as asphalt.
AI Artificial Intelligence tool for identifying weight cracks determined condition of the road as 49, on the scale 0-100.
Whole set of images from the road section evaluates condition as 88.
Google map is showing position of the image.
