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K LINE ADOPTS AI FOR ENVIRONMENTAL PERFORMANCE IMPROVEMENTS

K LINE ADOPTS AI FOR ENVIRONMENTAL PERFORMANCE IMPROVEMENTS

Wednesday, February 17, 2021 

Kawasaki Kisen Kaisha (K Line) is to adopt the Artificial Intelligence (AI) system developed by Bearing, a company backed by the AI Fund and Mitsui, based in Palo Alto, California, for its ship ICT system Kawasaki Integrated Maritime Solutions on over 300 ships under "K" line operation for the purpose of improving performance evaluation accuracy.

By combining the company's own data collection technology that with AI technology from Bearing, "K" Line expects to realise higher accuracy in its performance evaluation, enabling it to reduce environmental impact through economical and safe navigation.

Accurate evaluation of vessel operational performance in the actual sea area is highly important for enhancing economical operations and environmentally friendly measures. With existing IoT technologies, a certain level of operational performance evaluation with a certain accuracy using big data obtained in real time is still possible, but further improvement in accuracy is necessary in the shipping, shipbuilding, and marine equipment industries.

For many years, "K" Line says it has focused on collection of high-quality data and advanced data analysis technology, making various efforts to improve the accuracy of its performance evaluation technology. As a result, it has conducted a demonstration experiment to verify and evaluate data analysis technology by AI developed by Bearing, confirming the significantly higher accuracy compared with existing performance evaluation technology.

According to Bearing, another benefit of the joint programme is that high quality operational data collected by “K” Line can help make Bearing’s AI analysis more accurate.

In the future, by combining AI with high quality operational data, the company will not only accurately obtain operational performance of each vessel in the actual sea area and use it for operational management, but also accurately evaluate various fuel reduction efforts in both software and hardware, improve operational performance and advance ship management.

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