Tuesday, July 16, 2024 Network Rail, LNER, CrossTech, and Hitachi Rail are joining forces to test advanced digital monitoring systems for observing both the natural surroundings and rail infrastructure, such as vegetation and embankments. Real-time monitoring of these areas significantly increases safety by identifying potential threats such as overhanging or invasive vegetation, leaves on the tracks, or subsidence of embankments that could lead to disruptions or danger. Network Rail has previously reported that incidents related to vegetation cost up to £3 million each year in just the Southern region.
A new forward-facing CCTV camera (FFCCTV) has been installed in the driver’s cabin of an LNER Azuma train for a year-long trial that began in May. This Azuma train now plays a crucial role in the digital transformation of infrastructure monitoring and maintenance along the East Coast Main Line. This system incorporates the most advanced AI-driven camera sensor technology.
This automated system not only detects potential hazards but also identifies precise maintenance needs, fostering a preventive maintenance culture. Additionally, the trial aims to generate valuable insights and recommendations for timing and locating necessary maintenance along the East Coast Main Line. Hitachi Rail is spearheading the pilot project in collaboration with its digital partner, CrossTech.
The UK-based SME is celebrated as one of Network Rail’s AI technology achievements, employing computer .