Passenger Vessel Industry



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Scheduled for release in 2020, our SM400 system will provide advanced perception and situational awareness capabilities to vessels.

  • Minimally manned configurations
  • Autonomous command
  • Waypoint following and mission planning
  • Obstacle detection and avoidance
  • Remote helm control
  • Remote payload control
  • Collaborative vessel operations
  • Autonomous grid path execution

Advanced Perception & Situational Awareness Technology
For Passenger Vessels and Other Transport Boats

Sea Machines’ vessel intelligence systems add an Artificial Intelligence (A.I.)-powered, advanced perception and situational awareness system and/or autonomous command and control capabilities to passenger vessels. Our products increase the productivity and predictability of such vessels while reducing the overall risk and operational costs of passenger transport operations.

Capabilities & Use Cases

Advanced Perception & Situational Awareness

Slated for release in 2020, a coming Sea Machines system will use Artificial Intelligence (A.I.) to improve at-sea situational awareness, object identification and tracking capabilities.

Using advanced sensors to collect a continuous stream of information from a vessel’s environmental surroundings, this system will identify and track potential conflicts, and efficiently displays the data in the wheelhouse. Offering advantages in the Identification of Friend or Foe (IFF), this sensor fusion will provide a target’s name and flag, speed, course and more to an on-board or on-shore operator, enabling faster classification of the approaching object as safe, suspicious or a threat.

Autonomous Command

Sea Machines enables vessels to execute autonomous routes, as directed by a shoreside operator, with or without crew on board. Autonomous passenger vessels provide real-time intelligence to a shoreside crew via remote feeds. Using the data, a land-based team can then make informed decisions.

Sea Machines automates tedious or repetitive tasks, allowing an on-board crew to focus on higher-level operations.

Operational incidents can be prevented with obstacle detection and collision avoidance capabilities built on computer vision, radar, AIS and GPS data. Sea Machines helps to reduce operator fatigue, a major casualty factor in marine incidents during nighttime operations, long-distance voyages and challenging sea states.

Autonomous vessel routes can be saved and reused for future efficiency.

SM200 product image

Remote Payload Control

An off-site operator can remotely activate and control on-board equipment, such as cameras, sensors and other equipment.

The operator can engage on-board payloads from outside of the wheelhouse to provide greater visibility.

Remote Vessel Monitoring

From a shoreside location or second vessel, Sea Machines enables operators to monitor the operations and progress of working vessels in real time, anywhere there is a network connection.

This “on-watch redundancy” can help to prevent operational incidents and keep crews safer.

Human operators can command and control fleets of unmanned vessels with greater efficiency and reduced operational cost.

Collaborative Autonomy

Autonomous marine technology lets a single, shore-based operator command and control an entire unmanned fleet of passenger vessels.

Unmanned or minimally manned collaborative autonomous vessels reduce the resources required for voyages, helping to reduce operational costs.

Remote Helm Operations

Vessels can be remotely controlled from a second vessel or shoreside location, with or without crew on board. Operators can remotely control vessels 24/7, even in poor sea and weather conditions, and through periods of low light or visibility. Unmanned vessels do not require stop-work periods for shift-changes.

Vessels can be operated from outside of the wheelhouse to provide greater visibility.

Grid Path Autonomy for Repetitive Routes

The majority of operational incidents in the marine industry can be traced to human errors related to fatigue, distraction or boredom. Grid path autonomy eliminates the need for mariners to manually execute repetitive paths, like those used for whale watching.

Computerized route planning yields greater productivity and increased predictability.

Unmanned, autonomous vessels improve the speed and accuracy of repeating paths.

Proof of Performance

Boston Harbor Cruises’ Scarlett Isabella

Sea Machines and its innovation partner Boston Harbor Cruises are now collaborating in data collection and system testing that will advance our advanced perception and situational product for ships and other large vessels. Watch for more details will be announced as this collaboration progresses.

First AI-Powered Situational Awareness System Aboard a Container Ship

“Our team first met Sea Machines around three years ago when they were developing the concepts of their first autonomous systems, and already we were impressed with their technical capability, planned product path, and practical understanding of the future needs of the marine market. For this containership situational awareness program, we aim to prove the technology increases our safety, efficiency, and reliability.” — Michael Rodey,  A.P. Moller-Maersk

Sea Machines is now trialing its SM400 A.I.-powered perception and situational awareness technology aboard an A.P. Moeller-Maersk’s new-build VISTULA-class ice-classed container ships in Denmark. The project has been significant not only to Sea Machines and Maersk, but also to the larger maritime industry as the installation marked first time computer vision, LiDAR and perception software have been utilized aboard a container vessel to augment and upgrade transit operations. This system is expected to become commercially available to maritime operators and naval architecture and marine engineering firms in 2020. Learn more.

Contact us

Contact a member of the Sea Machines team to discuss your specific needs.