Nokia and Japanese rail operator, Odakyu Electric Railway, collaborate on AI-based railroad crossing safety trials
- Nokia scene analytics provides machine learning technology for real-time railroad crossing monitoring
- Analytics capability improves safety; reduces downtime and operational costs
- Video-based analytics offers functionality and performance that exceeds current radar systems
19 February 2020
Espoo, Finland – Odakyu Electric Railway Co., Ltd. announced that it is carrying out trials of Nokia’s SpaceTime scene analytics in order to identify ways of enhancing rail crossing safety.
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. Trials will be conducted from February 14 into March.
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 in order to make the Odakyu Line the safest rail company in Japan, enabling its customers to travel with complete peace of mind.
One of the leading private railway operators in Japan, Odakyu Electric Railway currently has 229 crossing points across 120.5 kilometers of rail track, with 137 radar systems for object detection.
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.”
Nokia SpaceTime scene analytics, which was 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.
Harrington added: “Network connected cameras are one of the most prolific sources of IoT data that can provide valuable insights to help promote high safety standards. 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.”
- Web page Nokia SpaceTime scene analytics
About Nokia for Industries
Nokia has deployed over 1,300 mission-critical networks with leading customers in the transport, energy, large enterprise, manufacturing, webscale and public sector segments around the globe. Leading enterprises across industries are leveraging our decades of experience building some of the biggest and most advanced IP, optical, and wireless networks on the planet. The Nokia Bell Labs Future X for industries architecture provides a framework for enterprises to accelerate their digitalization and automation journey to Industry 4.0. Nokia has also pioneered the private wireless space with many verticals, and now has over 120 large enterprise customers deploying it around the world.
We create the technology to connect the world. Only Nokia offers a comprehensive portfolio of network equipment, software, services and licensing opportunities across the globe. With our commitment to innovation, driven by the award-winning Nokia Bell Labs, we are a leader in the development and deployment of 5G networks.
Our communications service provider customers support more than 6.1 billion subscriptions with our radio networks, and our enterprise customers have deployed over 1,000 industrial networks worldwide. Adhering to the highest ethical standards, we transform how people live, work and communicate. For our latest updates, please visit us online www.nokia.com and follow us on Twitter @nokia.
Phone: +358 10 448 4900