Japanese Rail Line Trials Nokia’s Video Analytics Technology
Wednesday, February 19, 2020 | Comments

Odakyu Electric Railway is carrying out trials of Nokia’s SpaceTime scene analytics to identify ways of enhancing rail crossing safety. Trials will be conducted from mid-February into March.

With testing underway at Tamagawa Gakuenmae No.8 railroad crossing in Machida City, Tokyo, Nokia’s scene analytics can detect abnormal events by applying machine-learning based artificial intelligence to available camera images.

Analyzing 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.

The Odakyu Electric Railway is committed to advancing innovative technology and has 229 crossing points across 120.5 kilometers of rail track, with137 radar systems for object detection.

Nokia SpaceTime scene analytics, developed by Nokia Bell Labs, is also capable of providing real-time alerts for unauthorized 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.

“Network connected cameras are one of the most prolific sources of IoT (internet of things) data that can provide valuable insights to help promote high safety standards,” said John Harrington, head of Nokia Japan. “By running machine learning analytics on camera feeds, and sending solely relevant scenes and events to operators, the full benefits of video surveillance can be realized in a wide variety of settings, with rail crossings a particularly relevant use case.”

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