Directly above view with evergreen trees at sunrise in Black Forest, Germany
ScanwAi’s massive development project has reached a new milestone in road infrastructure management. A successful field test covering the Finnish road network proved the exceptional functionality of the AI system – damage mapping can now be reliably accomplished even on the most challenging gravel roads and during nighttime.
ScanwAi’s massive development project has reached a new milestone in road infrastructure management. A successful field test covering the Finnish road network proved the exceptional functionality of the AI system – damage mapping can now be reliably accomplished even on the most challenging gravel roads and during nighttime.
Field Testing Confirmed Functionality Across the Country
The capability and reliability of the ScanwAi system were extensively tested with comprehensive driving routines that spanned from south to north and east to west in Finland. The core of the project was to ensure that the system serves municipalities and road authorities where manual work is the most strenuous.
The mapping performed especially on gravel roads demonstrated the system’s effectiveness. Assessing the condition of gravel roads has traditionally been subjective, but ScanwAi can identify and classify different types of damage (such as individual potholes or series of rutting/holes) automatically, accurately, and repeatably.
Nighttime Work Increases Flexibility
A significant advantage in user experience has been the system’s ability to perform road damage mapping efficiently and reliably even when driving in the dark. “ScanwAi’s massive development project has invested in ensuring that data can be collected around the clock. When work does not have to be limited to daylight, maintenance planners gain flexibility, and monitoring of the road network is continuous. The system has been completed by listening to the customer experience,” says the ScanwAi development team.
