CycloMedia

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.

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.

vialytics provides an automated system for assessing road conditions using a smartphone mounted inside a vehicle. As the vehicle moves, the phone captures images at regular intervals, each tagged with GPS location and time. The software analyzes the images to detect multiple types of surface damage and assigns condition ratings to road segments. The results are displayed in a mapped interface that helps users identify problem areas and plan maintenance activities.