Japanese railway operator tests AI at crossings


The Odakyu Electric Railway Company in Japan is trialling Nokia’s SpaceTime scene analytics as a potential way to enhance safety on the line.

According to Nokia, the product is being tested at Tamagawa Gakuenmae Number 8 railroad crossing in Tokyo, with the trial continuing into March. The technology is designed to “detect abnormal events by applying machine learning-based artificial intelligence to available camera images.”
Speaking of the trial, a spokesperson for the company said: “Analysing available image feeds generated by conventional railroad crossing cameras, scene analytics identifies potential issues in real-time. Running on edge computing resources, it can also greatly reduce required bandwidth at remote sites, which may have limited connectivity.
“Nokia SpaceTime scene analytics is also capable of providing real-time alerts for unauthorised entry into remote facilities. It can detect and alert supervisors when personnel or equipment access unsafe locations in industrial settings, or when heavy machinery is out of position creating a potential hazard.”
John Harrington, Head of Nokia Japan, said: “Odakyu Electric Railway is renowned for being an early adopter of new technology and this trial illustrates the role that AI can play in delivering enhanced levels of vigilance. This is a critical milestone for Nokia to help contribute, not only to railway safety improvement but also to decrease operational costs and enhance performance.”
Odakyu Electric Railway has 229 crossing points across 120.5 kilometres of rail track.

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