In late 2015 RVL captured phase one funding through the highly competitive European Commission’s HORIZON 2020 program leading to the successful completion in June 2016 of a feasibility study into TRACKSCAN. The TRACKSCAN product will permit low cost, high speed 360 degree scanning of track ballast, subsurface structures (man-made or naturally occurring), embankments, tunnel layers and the impact of wildlife on rail infrastructure. Such scanning will ensure track stability, identify potential hazards, reduce the cost of track maintenance and minimize traffic disruptions.

TRACKSCAN is a fully portable unit mounted on a regular passenger or freight train, its high speed capability will ensure that data collection can occur in conjunction with a regularly scheduled rail service.

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TRACKSCAN will be capable of creating detailed 3D images of the subsurface using custom built software. Our software will process radar data into images that allow infrastructure assessments to be carried out non-invasively from a central hub resulting in optimized maintenance operations with minimal service interruption. An automated priority system based on computer image recognition will identify anomalies and their severity for scheduling maintenance, planned restructuring projects or emergency line closures for passenger safety.

RVL has experience in rail research which is why the rail industry is the target for this project and product. The management team are searching for opportunities to take the technology from the proven science into the demonstration phase.

RVL business strategy is based on the intellectual property developed through internal investment and client projects. The IP is in two forms: the vehicle mounted mechanical scanning assembly with its associated control systems and the algorithms that process the radar data into 3D images. Because of the uniqueness of TRACKSCAN the projects patent applications have now been filed, RVL is in pursuit of comprehensive patent protections. The software source code containing the algorithms are kept confidential within RVL as permitted in this call, and is also protected by copyright.

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