Fujitsu And MPA Singapore Determine Effectiveness Of AI Ship Collision Risk Prediction

Fujitsu Limited has announced the results of a field trial conducted with the assistance of the Maritime and Port Authority of Singapore (MPA) in analyzing marine traffic risks in the Singapore Strait. Fujitsu has demonstrated the usefulness of a novel ship collision risk prediction technology that leverages the power of Artificial Intelligence (AI) in predicting near misses between vessels. Using AI technology “Fujitsu Human Centric AI Zinrai” developed by Fujitsu Laboratories Ltd, this solution can detect ship collision risks and predict areas where collision risks are concentrated as dynamic risk hotspots.

rolls royce axa autonomous shipping — Representation Image – Credits: rolls-royce.com

This technology has the potential to be deployed in a Vessel Traffic Service (VTS) system to assist maritime traffic controllers to manage marine traffic proactively with the aim of improving the safety of navigation. Fujitsu aims to deliver services incorporating this technology for maritime traffic controllers and ship operators by 2020. Fujitsu will present the outcomes of this research at the IALA e-Navigation Information Services and Communications (ENAV) 23rd Committee Meeting in Singapore from 1 to 5 April 2019, and also share this and other work on maritime safety, at Sea Asia 2019, from 9 to 11 April in Singapore.

Background

Globally, especially in busy waterways, VTS centers that manage marine traffic rely on anti-collision warning in VTS systems, which uses closest point of approach techniques, to detect and notify ships when vessels get unusually close to one another. As vessel operations and interactions become more complex, the ability to detect and predict vessel movements in advance, especially in high-density vessel traffic areas like Singapore, is key to managing and reducing collision risks. To this end, Fujitsu and Fujitsu Laboratories have conducted research and development to calculate ship collision risks and predict dynamic hotspots.

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