We use state-of-the-art cameras housing dynamic vision sensors, mounted on vehicles, to generate, and regularly update, a visual map of the ground, whilst identifying the vehicle’s precise location relative to that map.

Our technology enables us to identify a vehicle’s location through the capture and processing of images, without the usual latency or motion blur. Upscaled from the technology used in mobile robotics and self-driving cars, where a map of the environment is built using sensors on the robot.

This precise method of data collection enables us to accurately build a blueprint of the rail infrastructure and map precise locations from vehicles travelling at speeds to 200km/hr.

Continuous data positioning from our specialist sensors works in conjunction with mapping algorithms and software, to supply a millimeter accurate map of track features.

Data from other monitoring streams can be layered on to the map/ blueprint to supply specific location data which can be tracked and analysed over time.