AI road condition analysis turns dashcam or drone footage into a TMH9-aligned defect inventory. Delta Scan's RoadAI software automatically classifies potholes, cracking, and rutting with GPS positions across provincial and municipal networks, replacing slow, sample-based visual rating walks.
South African road networks are large, ageing, and underfunded relative to maintenance need. Traditional condition assessment relies on visual rating walks at sample sections, extrapolated to the full network through statistical methods. The result is partial coverage, slow update cadence, and a Pavement Condition Index value that may not reflect the actual current state of any specific link.
AI road condition analysis changes the economics. Delta Scan's RoadAI software processes dashcam video from any vehicle and produces a georeferenced defect database in near real time. Cracks, potholes, rutting, ravelling, edge break, and surface texture deterioration are detected, classified, and severity-scored. The output aligns with COTO TMH9 Visual Assessment Manual conventions and integrates with provincial roads database systems.
