AI-powered pavement condition assessment software that uses computer vision to detect road defects, evaluate pavement conditions, and prioritize maintenance. Integrated with RoadVision AI’s AI road intelligence platform.
Manual pavement assessment methods are slow, inconsistent, and leave
you without the visibility needed for smart infrastructure decisions.
Manual surveys take weeks, leaving you with stale data and reactive maintenance.
Human inspectors introduce variability different ratings for the same road.
Isolated snapshots instead of continuous network-wide visibility.
RoadVision AI solves all three continuously and automatically, and feeds every result into your asset
inventory and AI-RAMS pavement management dashboard.
Watch the AI pipeline process your road data autonomously.
40+ distress types across all road surfaces, aligned with international standards.
Longitudinal, transverse, alligator, block, map, edge
Automated pothole detection with depth and area assessment measurement
Wheel path depressions and permanent deformation
Aggregate loss, flushing, and surface wear
Asphalt/binder overflow and surface slickness
Shoulder breaks, edge separation, and crumbling
Crescent-shaped cracks from layer movement
Cracks reflecting from underlying layers
Pavement surface displacement and unevenness
Condition, integrity, and re-cracking of previous repairs
Service line restoration quality and failures
Washboard ripples and surface undulation
Unpaved road erosion and depressions
Surface aggregate loss and instability
Material loss from water damage
Longitudinal, transverse, alligator, block, map, edge
Surface failures with depth and area assessment
Wheel path depressions and permanent deformation
Aggregate loss, flushing, and surface wear
Asphalt/binder overflow and surface slickness
Shoulder breaks, edge separation, and crumbling
Crescent-shaped cracks from layer movement
Cracks reflecting from underlying layers
Surface displacement and unevenness
Integrity, re-cracking, and failure of previous repairs
Service line restoration quality and failures
Washboard ripples and undulation
Unpaved erosion and depressions
Surface instability
Material loss from water damage
Interactive dashboards that put network-wide pavement management system at your fingertips.
Works with your existing road asset management system (RAMS) .
Full data export. Full ownership.
Download everything. Use our APIs. Integrate with your stack.
Standardized, repeatable surveys at scale. No more manual debate on condition ratings.
Objective baseline and handover condition assessment. Proof of work completion.
Continuous network monitoring. Know condition degradation before complaints arrive.
Network-level visibility. Data-driven capital planning. Long-term asset optimization.
Transparent, repeatable intelligence across thousands of kilometers. Accountability built in.
Scale delivery without scaling headcount. Automate repetitive assessments and focus on high-value advisory.
Continuously monitor your road network, identify pavement deterioration early, and use the Road Safety Audit Agent to flag emerging safety risks.
The Pavement Condition Intelligence Agent is RoadVision AI's pavement condition assessment software. From dashcam footage with GPS data, it detects 40+ distress types, measures their size, scores severity and PCI, forecasts deterioration and ranks repairs, with no specialist survey vehicle. Results export to your existing asset management system.
Each detected defect is measured and given a severity rating, and the platform combines them into an automated PCI score for every road section
Absolutely. The platform offers seamless integration with GIS platforms, RAMS (Road Asset Management Systems), enterprise asset management tools, and BI dashboards through comprehensive API support.
Pavement condition assessment software uses computer vision to find, measure and score road surface defects from survey imagery, replacing manual inspection. RoadVision AI's agent also forecasts deterioration and ranks repairs, so teams can plan maintenance instead of reacting to failures.
AI video survey takes over the high-frequency work, such as monthly or quarterly condition checks across the network. Laser, LiDAR and structural surveys remain useful for deeper structural investigation, and AI video flags which stretches need them.
Integrating multi-modal data, predictive intelligence and enterprise
workflows to redefine road infrastructure management worldwide.
Partner with us to build smarter, safer roads with autonomous
AI road intelligence technology.