Attached to the front of the train, a camera moves along rail tracks in need of inspection. The technology utilises machine vision, which captures high definition images of the rail track to generate data which is then transferred through to a system which analyses the data to highlight inaccuracies and faults on the tracks.
In addition, the technology assists in identifying where faults may occur, allowing preventative fixes to be implemented as opposed to urgent repairs after an issue arises.
The automated technology, which is currently being progressed from proof of concept into a commercial grade software, is set to provide a quicker, more efficient and safer alternative to what is currently a manual track inspection process.
By automating the inspection process, the health and safety of workers will improve by minimising their exposure to live track environments as well as reducing time taken to complete a manual inspection.