Moller-Maersk, of Copenhagen, to trial its in-development advanced perception and situational awareness technology aboard a Maersk Winter Palace ice-class container ship.
The installation is the first time computer vision, Light Detection and Ranging (LiDAR) and perception software has been utilized aboard a container vessel to augment and upgrade transit operations.
[14] In August 2019, Sea Machines demonstrated the capabilities of its SM300 aboard a manned Marine Spill Response Corporation (MSRC) skimming vessel as it executed oil-spill recovery exercises in the harbor for the U.S. Department of Transportation Maritime Administration (MARAD).
[15] In May 2019, Sea Machines partnered with Hike Metal, a manufacturer of workboats based in Ontario, Canada, to integrate the SM300 aboard commercial vessels tasked with search-and-rescue (SAR) missions.
In 2020, the U.S. Coast Guard (USCG) and American Bureau of Shipping (ABS) approved the SM200 for installation aboard a class of U.S.-flag tugboats that support articulated tug-barge (ATB) sets.
JETsense utilizes Artificial Intelligence (AI) and autonomy to perceive the domain and maintain precise control of steering and speed during a voyage and re-route to avoid traffic and obstacles.
Using a Damen-built tugboat named Nellie Bly outfitted with the Sea Machines SM300, the vessel autonomously navigated more than 1,000 nautical miles over 13 days around the Danish islands of Zealand, Funen, and Laeso and north to Skagen, then down through the Kiel Canal to Hamburg, Germany.