GoodRoads

Viso 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.

ROMDAS 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.

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.