OKI Develops AI System For Ship Classification Using Underwater Sounds

OKI has developed ‘ship classification AI system technology’ for the automatic classification of ship types through deep learning of underwater sounds.

This technology makes it possible to continuously and automatically acquire ship classification data, even in environments such as busy ports with high ship traffic and at night, when visual identification using cameras is difficult.

Internal verification experiments by OKI have demonstrated that the system can classify ships with 90% or better accuracy, even with only small amounts of learning data extracted from ship sound data.

Since radio waves are significantly attenuated and light waves are widely scattered under the sea, classification methods generally rely on sound waves, which can propagate underwater for distances ranging from several to thousands of kilometers.

In addition, since underwater sound source, whether an animal or ship, has its own unique characteristics, the type …

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