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Distant-Water Fisheries

AI Fishing & Catch Operations Digital Twin

Linker Vision combines AI video understanding with a vessel digital twin to map fishing and catch-handling activities to the deck, processing areas and cold holds. It records operation stages, links events to batch and weighing data, and helps captains and shore teams track progress, identify bottlenecks and compare workflow options through simulation.

VLM output

An aerial drone view follows a red-and-green fishing vessel working alone on open ocean under overcast skies, with its net-hauling boom rigged and dark netting hanging over the port side. Crew members in high-visibility gear stand on the working deck while seabirds circle the boat, and a second small red boat is visible far off near the horizon.

  • Fishing Vessel DetectedYes
  • Vessel Count2
  • Fishing Gear DeployedYes
  • Net Hauling In ProgressYes
  • Crew On DeckYes (3-4)
  • Land VisibleNo
  • Sea StateModerate
  • Weather VisibilityOvercast
  • Seabird ActivityHigh

Customer challenges

1

Fishing and catch-handling records rely on manual reporting.

2

Video, batch, weighing and hold records are stored separately.

3

Delays and catch buildup are difficult to track across work areas.

4

Shore teams have limited visibility into each vessel’s progress.

5

Staffing and workflow changes are difficult to assess before use.

Customer benefits

Reduce manual reporting and video search time.

View catch-handling progress in its vessel context.

Identify buildup, waiting and workflow bottlenecks earlier.

Connect catch batches, weights and hold records.

Use simulation to assess staffing and workflow options.

Compare operational efficiency across vessels and voyages.

Key features

AI Operation Recognition & Records

Recognizes operation stages by fishing method, records the start, end and duration of each stage, alerts on catch buildup, waiting and workflow interruptions, and produces voyage summaries with searchable video records.

Vessel Operations Digital Twin

Provides a 3D layout of decks, processing areas, transfer routes and cold holds, maps operations, cameras and equipment status to vessel locations, gives area-based access to video, progress and event records, and replays the timeline from catch landing on deck to hold entry.

Catch Batch & Workflow Tracking

Integrates weighing, batch entry and hold records to link catch weight, processing time and storage location, compares efficiency across voyages and vessels, and tracks hold usage from recorded batches and capacity data.

Workflow Simulation & Optimization

Models processes from observed times and equipment capacity, compares staffing, processing sequences and transfer routes, tests catch surge and equipment downtime scenarios, and assesses time from catch landing on deck to hold entry.

Before & after

Before Operation stages and times are recorded manually. After — with Linker AI Nexa AI records operation stages and timelines.
Before Cameras and work areas are viewed separately. After — with Linker AI Nexa A vessel digital twin presents progress by work area.
Before Buildup and delays depend on crew reports. After — with Linker AI Nexa AI flags buildup and delays at mapped locations.
Before Batch, weight and hold records require manual matching. After — with Linker AI Nexa Integrated records link batches, weights and hold locations.
Before Workflow changes are tested during live operations. After — with Linker AI Nexa Workflow options are simulated before on-board validation.