TotalPave

PULSE for Pavement from CITYROVER uses a single vehicle-mounted camera to automatically collect data on roadways, then generates ratings, roughness scores, marking inventories and pavement failure lists. It delivers outputs such as PCI scores, IRI measurements, crack surveys and marking conditions without requiring manual inspection of each segment. The system is designed to support public-sector road planning by feeding the data into budgeting, lifecycle analysis, work planning and communication workflows.

RoadVision AI uses imagery from smartphones, dash-cams, NSVs and aerial sources to capture road and asset data, then applies analytics to identify conditions, map assets and prioritise maintenance work. It displays results as GIS-based network maps with colour-coded segments, offers dashboards for budgeting, task assignment and performance tracking, and supports regular refreshes to monitor change over time.

Blyncsy Roadway Detections processes dash-cam imagery using image-analysis techniques to identify pavement issues (such as cracks and potholes), assess paint-line visibility, and generate condition scores across a roadway network. It supports segment-level rating (for example PASER analysis) and tracks degradation of striping and retroreflectivity over time. The results are delivered via mapped displays and dashboards, enabling users to visualise where maintenance is required and feed these insights into operational workflows.