Vialytics

RoadAI uses a smartphone to survey road networks, capturing video while driving and applying computer vision to automatically identify surface distresses such as alligator cracks, potholes, settlement, and edge deterioration. It also detects roadside assets including traffic signs, line markings, guard rails, street lights, manholes, and drains. The system provides interactive maps and exportable data formats such as Excel, CSV, GeoJSON, and Shapefile for integration with asset management workflows.

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.