AI Computer Vision + Oxygen/Aeration Control

See what’s happening in your pens—and act before it becomes a problem. We combine AI camera analytics (biomass/weight, welfare, automatic sea-lice counts) with real-time dissolved-oxygen monitoring and automated aeration/oxygenation so crews get early warnings and clear actions.

Primary CTA: Book an AI + O₂ walkthrough
Secondary CTA: Download the deployment checklist (PDF)

What this delivers

Continuous fish insights: camera-based weight/biomass & growth, welfare/behaviour, and automatic lice counting—reducing manual handling stress and providing daily, pen-level trends (with forecasts for lice).
Real-time water-quality control: DO/temperature sensors across pens feed dashboards and can drive automated aeration/oxygenation to keep stocks safe during low-O₂ events.
Feeding & efficiency tie-in (optional): integrate with feeding AI to align appetite/behaviour signals with O₂ conditions for cleaner feed decisions.

Our scope (end-to-end)

Design the stack (cameras, mounts, network; sensor count/placement per pen; blower/O₂ integration points).
Deploy & calibrate: install cameras/sensors, set DO thresholds, and validate alerts & control logic in real conditions.
Train crews & tune: reading welfare/lice dashboards, interpreting weight curves, and running aeration pre-emptively during known risk windows.
Reporting: simple SOPs for daily checks and event logs that align with farm QA and regulator expectations.

Outcomes you can expect

Fewer surprise low-O₂ events and faster recovery because DO is monitored continuously and controls can respond automatically.
Less manual lice counting & handling (lower stress), with daily automated counts and trend/forecast views to time interventions better.
Better feed calls by combining behaviour/biomass signals with water-quality data; optional AI-assisted feeding adds another layer of discipline.

How a rollout works

Site review → pens, currents, prevailing DO dynamics, network/power.
Hardware plan → camera(s)/pen, sensor density, and aeration/oxygenation capacity.
Install & connect → mount cameras, place DO sensors, pair to cloud dashboards, set alerting & O₂ control.
Pilot week → verify lice/weight trends and DO alerts against crew observations; adjust thresholds.
Go-live + SOPs → daily checks, event logging, and escalation paths.

FAQs

Will AI lice counts replace regulatory counts?
They improve frequency and precision, but regulators may still require spot-checks/verification. Benefit: fewer manual fish handles and continuous daily updates to guide treatment timing.

Do we need to buy new feeders to use this?
No. Vision/O₂ stacks run independently. If you want feeding AI later systems can layer onto existing infrastructure.

How do we keep oxygen stable across multiple pens?
We place DO sensors strategically (per pen or per cluster) and stream data to dashboards.

Compliance note

We implement vendor-agnostic solutions and align SOPs with your farm’s QA and local regulator expectations (e.g., documentation of lice counts/decisions and water-quality logs).