The system can even offer a unique bird’s-eye view of the environment from above. This is something that could be particularly useful in docking operations. Work on an automated docking system is ongoing.


The system functions as an advisory tool that empowers decision-makers with a greater understanding of a ship’s surrounding environment.


Its


application is particularly aimed at the safe navigation of busy ports, for example a large cruise ship navigating the port of Shanghai,


or operations in challenging environments, such as the dense fog experienced in Houston’s shipping channel.


An artificial intelligence (AI)-based object classification solution independently detects and tracks objects. Software algorithms classify the data generated by on board cameras to identify approaching vessels or objects. Ultimately it will be able to determine vessel characteristics i.e. how fast a vessel can travel or stop. A process known as ‘labelling’


establishes what a vessel’s cameras ‘see’. This involves drawing boundaries around pictures containing two vessels and teaching the AI the difference between each boundary field, as well as any associated characteristics for each field/vessel. So far and the system on offer contains 100 different categories. It can detect a range of objects and establish whether they are stationary, such as lighthouses, or moving, such as ships.


The Report • June 2017 • Issue 80 | 49


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