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

  Industry challenge: Poor at-sea situational awareness
  Sea Machines solution:
Advanced perception and situational awareness technology

Slated for release in 2020, a future 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, Sea Machines will identify and track potential conflicts, and efficiently display the data in the helm. 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.

Autonomous Command

  Industry challenge: Highly manual operations
  Sea Machines solution: 
Technology that automates

Our systems automate tedious, redundant and dangerous tasks, and allows crewmembers to focus on higher-level operations via a minimally manned mode.

Operators can program vessels to autonomously deploy pre-established routes, a feature especially valuable for transiting to offshore sites. Vessels can be remotely commanded to follow paths autonomously.

  Industry challenge: Systems lack intuitive and dynamic capabilities
  Sea Machines solution: 
Intelligent vessel systems

Unlike an auto-pilot, Sea Machines systems execute with human-like behavior, intelligently factoring in environmental and sea conditions (including wave height, pitch, heave and roll); change speeds between waypoints; and actively detect obstacles for collision avoidance purposes.

  Industry challenge: Operational incidents caused by fatigue
  Sea Machines solution: 
Obstacle detection and collision avoidance

Our systems help to reduce operator fatigue, a major casualty factor in marine incidents during nighttime operations, long-distance transfers and challenging sea states.

Grid Path Autonomy for Repetitive Routes

  Industry challenge: Operational incidents due to fatigue or distraction
  Sea Machines solution: 
Automation of repetitive or tedious vessel paths

The majority of operational incidents in the marine industry can be traced to human errors related to fatigue or distraction. Repetitive path autonomy eliminates the need for mariners to manually execute tedious paths, such as those used during site surveys and dredging operations.

  Industry challenge: Low performance and speed of manual operations
  Sea Machines solution: 
Autonomous grid paths

An autonomous vessel executes precision grid paths more predictably than a human operator.

Autonomous technology improve the speed and accuracy (XTE) of predefined and repetitive routes.

Collaborative Autonomy

  Industry challenge: Inefficiencies related to large coverage areas
  Sea Machines solution: 
Autonomous vessel collaboration

Sea Machines systems enable vessels to autonomously collaborate as they follow pre-established grid patterns and perform other coordinated tasks.

To create a force-multiplier effect, operators can coordinate multiple autonomous boats to collaborate and follow the same paths at set distances apart, a feature especially useful for large coverage areas.

  Industry challenge: High-cost operations
  Sea Machines solution: 
Reduced crew requirements

Minimally manned and unmanned collaborative autonomous vessels reduce the resources required, helping to lower operational costs.

Remote Helm Operations

  Industry challenge: Vision obstruction that impairs operations
  Sea Machines solution: 
Remote helm control

Remote helm control ensures optimal visibility while docking, when maneuvering in tight quarters and during periods of low light, by allowing crews to command vessels from locations with the best vantage point, whether that be on or off the vessel.

The Sea Machines industrial-grade joystick offers portable helm operations, allowing mariners to command a vessel while monitoring operational indicators from a location outside of the helm.

  Industry challenge: Human exposure to challenging conditions
  Sea Machines solution: 
Minimally manned operational mode

Sea Machines enables a remote-helm, minimally manned mode, which increases safety by eliminating or reducing the need for humans to be on board and exposed to challenging sea-states and dangerous environments.

SM200 product image

Remote Payload Control

  Industry challenge: Payload controls located in helm
  Sea Machines solution:
Remote payload control

Traditional payload controls are located inside the helm, requiring on-board operators to engage equipment from a location that doesn’t always offer the best vantage point. Sea Machines frees the operator to engage vessel payloads — such as cameras, sensors and other equipment — from anywhere on the vessel that offers the greatest visibility. Off-site operators can remotely activate and control on-board equipment from a distance of +/-1 kilometer.

Remote Vessel Monitoring

  Industry challenge: Limited visibility into real-time vessel operations
  Sea Machines solution: 
24/7 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 reduced-crew vessels with greater efficiency and reduced operational cost.

Proof of Performance

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.