Road inspection hardware connected to workflow
RoadScan AI combines in-vehicle processing with defect mapping and review workflows.
It is designed for municipal road teams that want more continuous evidence and faster prioritisation.
Product
In-vehicle AI hardware for continuous road defect detection
RoadScan AI captures road condition evidence as vehicles move through the network, helping teams detect, map and prioritise defects.
Outcomes
- Detect road defects during normal vehicle movement
- Map issues with severity and location context
- Support work order creation and maintenance planning
- Reduce reliance on purely manual inspection cycles
Capabilities
- PV-RSAI RoadScan AI hardware
- In-vehicle AI defect detection
- Cloud-connected inspection workflow
- Hawk and ERP integration options
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FAQ
Common questions about RoadScan AI hardware.
Questions for teams considering in-vehicle AI road condition capture.
What does RoadScan AI hardware do?
RoadScan AI hardware captures road condition evidence as vehicles travel, helping teams detect, map and prioritise road defects.
Can RoadScan AI work on existing fleet vehicles?
Yes. Depending on the vehicle, route and project design, RoadScan AI can use vehicles already moving through the road network.
What type of evidence can RoadScan AI provide?
It can support location-linked visual evidence, defect context and information that helps teams review maintenance priorities.
Can RoadScan AI support councils?
Yes. RoadScan AI is well suited to local government road, asset and maintenance teams that need scalable condition visibility.
Can RoadScan AI data be linked to GIS workflows?
Depending on project setup, RoadScan AI outputs can support mapping, exports and asset maintenance workflows.