Artificial Intelligence | News | Insights | AiThority
[bsfp-cryptocurrency style=”widget-18″ align=”marquee” columns=”6″ coins=”selected” coins-count=”6″ coins-selected=”BTC,ETH,XRP,LTC,EOS,ADA,XLM,NEO,LTC,EOS,XEM,DASH,USDT,BNB,QTUM,XVG,ONT,ZEC,STEEM” currency=”USD” title=”Cryptocurrency Widget” show_title=”0″ icon=”” scheme=”light” bs-show-desktop=”1″ bs-show-tablet=”1″ bs-show-phone=”1″ custom-css-class=”” custom-id=”” css=”.vc_custom_1523079266073{margin-bottom: 0px !important;padding-top: 0px !important;padding-bottom: 0px !important;}”]

Fujitsu Introduces AI Technology Enabling Highly Accurate Prediction Of Vessel Collision Risks On Complex Maritime Routes

– New algorithm allows Fujitsu’s AI technology to reduce unnecessary alerts by about 90%, contributing to highly accurate prediction of vessel collision risks
– Technology contributes to improved maritime traffic safety in areas with heavy maritime traffic and heightened collision risks, including bays
– Highly accurate predictions enable operators to recognize risks early and respond quickly to prevent vessel collisions

Fujitsu Limited announced the introduction of a highly-accurate AI technology to predict vessel collision risks on complex sea routes including bay areas. Field trials were conducted between November 2020 and September 2021 under an outsourcing contract with the Japan Coast Guard to demonstrate the usefulness of the new technology.

Recommended AI News: Visier Announces Appointment of Two New Independent Board Members

Fujitsu previously leveraged AI technology to calculate and predict vessel collision risks based on the current position, speed and direction of the ship. Now, an additional algorithm has been added to this technology in order to calculate the degree to which the vessel is following its course, enabling more accurate risk prevention.

This new feature makes it possible to only provide alerts in situations with a high risk of collision – changes of the course along a route will thus no longer be falsely detected as dangerous steering.

Field trials of the technology were conducted at the Tokyo Wan Vessel Traffic Service Center under an outsourcing contract with the Japan Coast Guard, which manages maritime traffic control services. Results of the trial demonstrated that this technology can reduce unnecessary alerts by about 90% on all sea routes, especially on curved sections where alerts frequently occurred.

This improved technology enables the early recognition of vessels prone to risks and a speedy initial response in order to prevent collisions, while also contributing to improving maritime traffic safety by reducing excessive traffic control operations as well as human errors.

Related Posts
1 of 40,691

Recommended AI News: Leena AI Announces $30 Million Series B round led by Bessemer Venture Partners

Based on the results of the field trials, Fujitsu plans to provide safe navigation support services beginning in March 2022 for players in the maritime industry globally. Through this service, Fujitsu aims to ensure both the safety of maritime traffic control as well as vessel operation and will support the construction of resilient maritime traffic systems.

Background
More than 99% of Japan’s imports and exports are conducted through seaborne trade. However, the recent impact of COVID-19 has greatly restricted people’s movement, making logistics more important than ever. At the same time, recent serious maritime accidents around the world have drawn increased attention to the importance of ensuring the safety of maritime traffic. This not only includes direct damage to the ship hull and cargo, but also indirect damage caused by lost opportunities due to inoperable ships, as well as serious damage to human life and the environment.

Many maritime accidents are said to be caused by human error. Particularly in busy sea lanes near ports and in bays, there is a need for technology that helps operators to understand the movements of vessels and provide them with information to avoid risks.

However, most of the methods to predict vessel collision risks currently in practical use take into account that vessels navigate along straight lines starting from their current positions. As a result, unnecessary alerts frequently occur when a vessel navigates on curved sections of sea routes, officially defined by laws and regulations like the Maritime Traffic Safety Act. Therefore, the correct timing of risk notifications to vessels depends on the experience and skill of the operation controller.

In fiscal 2019, under an outsourcing contract with the Japan Coast Guard, which operates a navigation support system that combines radar and the Automatic Identification System (AIS)(1) to analyze movements of vessels in order to provide them with relevant information to improve the safety of navigation, Fujitsu leveraged AI technology to predict vessel collision risks in the Tokyo Bay area and to detect other areas where collision risks are highly concentrated. Fujitsu has confirmed the effectiveness of this method for early detection of collision risks.

Fujitsu additionally conducted joint field trials with the Japan Coast Guard in order to improve maritime traffic safety and to establish a technology that can support the operations of the Japan Coast Guard.

Recommended AI News: Morphean Announces Expansion as EU Interest in Cloud Security Grows

[To share your insights with us, please write to sghosh@martechseries.com ]

Comments are closed.