Fujitsu trials AI collision tech with MPA Singapore

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Fujitsu Limited, a leading provider of IT solutions, has announced the results of an artificial intelligence (AI) field trial conducted in partnership with the Maritime and Port Authority of Singapore (MPA).

Risk prediction technology, which leverages the power of AI to anticipate collisions and near misses between vessels in the Singapore Strait, was demonstrated during the test.

According to a statement, this solution can detect areas which may be dynamic risk hotspots for sea-going vessels.

Read a Port Technology technical paper from Thomas Timlen, who discusses safe navigation in the Singapore Strait

In addition to this, Fujitsu has emphasized the potential of this technology to be deployed in a Vessel Traffic Service (VTS) system, where it would help maritime traffic controllers to manage marine traffic and improve the safety of navigation.

 

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VTS centres responsible for monitoring marine traffic rely on anti-collision warnings from VTS systems, but as vessel operations become more complex and technologically advanced the ability to predict ship movements in high density areas, ahead of time, has become more important.

Fujitsu conducted its research and testing process over the course of two years, with the support of 10 MPA officers from the authority’s Vessel Traffic Management Department and Port Systems Division.

 

 

Based on studies which were benchmarked to human operators, the detection system was able to discover potential risks 10 minutes before the near-miss, which would provide 5 minutes lead time for human operators to carry out the necessary response.

The dynamic risk hotspot detection technology could detect risks up to 15 minutes in advance, also enabling staff to take specific measures in the case of a possible incident.

Based on the results of the trial, Fujitsu has confirmed that it will continue working with Singapore to refine its technology and deliver a solution which ensures safe navigation for traffic controllers and ship operators by 2020.

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