AI-assisted deficiency and asset capture from the road.
Computer vision analysis of road data — potholes, cracking, markings, signage and custom classes — so patrol and inspection programs can scale beyond pure manual observation.
Scale capture without losing location context.
Vision AI helps teams detect and organize road conditions and assets while keeping findings tied to place so follow-up work can start from evidence, not memory.
- AI-assisted detection of common road deficiencies
- Support for markings, signs and custom asset classes
- Evidence tied to location for follow-up work
- Complements human patrol judgment rather than replacing it
What operations teams gain.
Practical outcomes for public works, contractors and mobile fleets — without inventing metrics or claims we cannot support.
Faster observation
Cover more network with assisted detection support.
Consistent classes
Standardize how common defects and assets are labeled.
Location-backed evidence
Keep detections useful for dispatch and repair.
Work creation path
Turn findings into follow-up items in the same stack.
Patrol complement
Pair with human judgment and road-class programs.
Custom classes
Adapt detection focus to local asset and defect priorities.
See how vision ai fits your routes, crews and coverage reality.
Demos and workflow reviews for municipalities, counties, DOTs, towns and contractors across the U.S. and Canada.