As 2019 comes to an end, the time has come for an annual review concerning smart shipping. This year, the shipping industry continued facing and taking part in major technological developments, providing maritime stakeholders with opportunities to explore new opportunities in the smart era in the field of autonomous vessels, connectivity onboard and cyber security, spreading the digitalization message across the whole industry.
Japanese MOL announced an agreement for joint development of the next-generation engine failure sign diagnosis application, in partnership with ClassNK Consulting Service, IHI Power Systems, and Mitsui E&S Machinery.
During Marintec China trade fair in Shanghai, DNV GL inked a cooperation agreement with Guangzhou Shipyard International Company Limited (GSI) to launch a project to enhance welding non-destructive testing (NDT) efficiency through the automatic detection and assessment of radiography testing (RT) digital images.
International Container Terminal Services, Inc. (ICTSI) announced that it will use a new technology for its business units in Asia, Europe, Africa and the Americas to protect thousands of end-points across its network. ICTSI will collaborate with BlackBerry Limited to use its BlackBerry Cylance technology.
The pilot project of the Swedish ferry company, Stena Line, using artificial intelligence (AI) technology in order to predict the most fuel-efficient way to operate a vessel is saving fuel on the company’s ships. In particular, the software, which is named Stena Fuel Pilot, is expected to be installed during autumn, on five more Stena Line vessels. Moreover, the company states that its ambition during 2020, is to promote the technology across its 37 vessels operating in Europe.
Olivier Wyman forum launched the “Global Cities’ AI Readiness Index” ranking more than 100 countries on their readiness to adopt AI and other technologies, with Singapore winning the first place as the most prepared to adopt AI technologies.
ABS and Samsung Heavy Industries will join forces on the use of digital technologies, aiming to streamline designing, building, and classing assets in a joint development project signed on September 17. The JDP regards 3D digital disclosure, data exchange, and the use of analytics to support the new construction process and pilot the survey of the future.
Japanese MOL and SenseTime Japan Ltd. developed a new vessel image recognition and recording system, which deploys artificial intelligence to recognize surrounding vessels. The video shows the system’s installation for demonstration testing aboard the cruise ship “Nippon Maru” operated by MOPAS.
Swiss UAV technology company Sulzer Schmid and artificial intelligence specialist NNAISENSE teamed up to develop an artificial intelligence engine to automatically detect rotor blade damages on wind turbine. The initial version will be able to flag all areas of concern on any given damaged blade.
PSA Corporation Ltd and Envision Digital International Pte Ltd (Envision) signed a Memorandum of Understanding (MoU) to cooperate in knowledge sharing and capability transfer for development in the fields of engineering, technology, Artificial Intelligence and Internet of Things.
