- 12-month Network Rail pilot project underway to automate detection of potential hazards such as overhanging trees, leaves and subsidence that risk disruption.
- ‘Front-Facing CCTV’ digital monitoring will optimise safety and maintenance of infrastructure and vegetation using AI technology from CrossTech.
- Digital asset monitoring project has been facilitated by Hitachi Rail, applying CrossTech technology to LNER Azuma trains.
Network Rail, LNER, CrossTech and Hitachi Rail are collaborating to trial the latest in digital asset monitoring to observe the natural environment and track, including vegetation and embankments.
Monitoring areas in real-time further enhances safety, helping detect potential hazards like overhanging or invasive tree species, leaves on the track, or embankment subsidence that could cause harm or delays. Network Rail previously
estimated that vegetation-related incidents cost up to £3 million annually in the Southern region alone.
The new forward-facing CCTV camera (FFCCTV) has been installed inside the driver’s cabin of a LNER Azuma train for the 12-month trial, which started in May. The operational Azuma train now has a key role in digitising infrastructure monitoring and maintenance on the East Coast Main Line. This solution uses the very latest in Artificial Intelligence (AI) camera sensor technology.