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Thread: SM300, vessel intelligence system, Sea Machines Robotics, Inc., Boston, Massachusetts, USA

  1. #1

    SM300, vessel intelligence system, Sea Machines Robotics, Inc., Boston, Massachusetts, USA


  2. #2


    SM300: survey & search autonomy

    Published on May 14, 2019

    Sea Machines autonomous marine technology can be installed aboard existing or new commercial workboats and vessels, adding capabilities that increase productivity, predictability, efficiency and safety.

    Sea Machines enables commercial marine vessels to autonomously execute survey grids/routes. Those in the hydrographic survey, data acquisition, dredging or commercial fishing industries (among others) have a need for highly predictable and precise routes. Evenly spaced sweeping or grid patterns allow for proper data collection and sea-floor mapping, fishing ground coverage, dredging progress and more. Planned patterns can be saved for repeat use and data is collected in real-time and stored for analytics and reporting.
    "Top Capabilities Sea Machines Adds to Commercial Surface Vessels"

    April 17, 2019

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    Marine Automation System: AI-Powered Vessel Vision

    Dec 15, 2021

    Maritime operations on water evolved to support the natural human sensory system, with eyes being the dominant sensor to interpret the area around us. With the addition of computer vision, the concept of autonomy comes closer to reality.

    At this year's International WorkBoat Show, Sea Machines showcased our Computer Vision capabilities for the next level of marine autonomy.

    Sea Machines’ sensor for classed vessels, powered by AI, provides advanced situational awareness information to the bridge crew with a comprehensive situational awareness of the ship’s operating domain, including nearby traffic and obstructions.

    The sensor collects and on a vessel MFD displays real-time target data for human interpretation including object type, geolocation, and target status. The power of computer vision enables crew efficiency, allowing humans to focus on operational tasks as the system constantly remains alert. Reducing human error and minimizing risk while increasing situational awareness leads to a new level of safety.

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