Computer vision tracks visible welfare indicators and behavioral changes in farmed fish.
Welfare and behavioral changes can emerge between manual inspections and be difficult to quantify consistently.
Aquabyte analyzes underwater imagery for visible welfare indicators and behavior patterns across pens.
Camera observations are converted into structured welfare and behavior metrics for review and follow-up.
Vendor documentation: link 1 · vendor website
Evidence level: L2 · Documented: how evidence levels work
Computer vision tracks visible welfare indicators in farmed fish
Detects behavioral changes over time from underwater imagery
Compares welfare and behavior patterns across pens
Retains past observations for consistent follow-up
Underwater imagery documents observed conditions
Reports help teams investigate and act on welfare changes
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