Roadvision provides road safety and traffic management technology.
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.
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.
ROMDASTM RoadmasROMDAS is a modular, vehicle-mounted data capture system designed to survey road and asset conditions using a range of sensors. The core platform combines hardware interfaces and acquisition software with optional modules such as the Laser Crack Measurement System (LCMS) for 3D pavement profiling, GPS and geometry tracking, and video logging for both pavement and right-of-way views. It can also measure macro-texture, rut depth, and surface defects like cracks and potholes. Collected data are processed through the DataView software, which synchronizes measurements with imagery and location data to produce mapped condition information suitable for integration with GIS and asset management systems.
Viso.ai Suite Viso.aiViso Suite is a computer vision platform that enables automated pothole detection using video feeds or images from cameras mounted on vehicles or infrastructure. The platform allows users to build and deploy detection models that identify and locate potholes in real time, measuring their position and dimensions. It supports integration with mapping and workflow systems so maintenance teams can visualize detections, generate alerts, and plan repairs directly from the captured data.
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