How to monitor fish in aquaculture with computer vision

How can a fish farm or hatchery use computer vision to watch tanks, ponds and pens?

Train a model on the farm own underwater and overhead camera footage so it can estimate fish counts as they pass a counting point, flag fish that look injured or swim oddly, and note uneaten feed on the bottom or near the surface. Each flag carries the tank or pen and the time, so staff can review the clip and decide what to do. The model only points staff to footage worth a look; it never diagnoses disease or changes feeding on its own, and fish health questions always go to a qualified fish health professional.

What this means in practice

Gather camera footage from the farm own tanks or pens across different light, water clarity and stocking levels
Label what staff care about, such as fish, visible injuries, unusual swimming and uneaten feed
Run new footage through the model and group flags by tank or pen and by time of day
Have trained staff review each flag and send any health concern to a qualified fish health professional
Add reviewed clips back into training so the model fits the farm own species, cameras and water

How Lid Vizion approaches it

We start with the business decision and operating context, define ownership and measurable milestones, then use configuration, integrations, automation, or custom software only where each earns its place.

--- title: "How to monitor fish in aquaculture with computer vision" description: "Train a model on the farm own underwater and overhead camera footage so it can estimate fish counts as they pass a counting point, flag fish that look injured or swim oddly, and note uneaten feed on the bottom or near the surface. Each flag carries the tank or pen and the time, so staff can review the clip and decide what to do. The model only points staff to footage worth a look; it never diagnoses disease or changes feeding on its own, and fish health questions always go to a qualified fish health professional." url: https://lidvizion.ai/answers/how-to-monitor-fish-in-aquaculture-with-computer-vision/ site: Lid Vizion index: https://lidvizion.ai/llms.txt --- [Direct answers](https://lidvizion.ai/answers/) # How can a fish farm or hatchery use computer vision to watch tanks, ponds and pens? Train a model on the farm own underwater and overhead camera footage so it can estimate fish counts as they pass a counting point, flag fish that look injured or swim oddly, and note uneaten feed on the bottom or near the surface. Each flag carries the tank or pen and the time, so staff can review the clip and decide what to do. The model only points staff to footage worth a look; it never diagnoses disease or changes feeding on its own, and fish health questions always go to a qualified fish health professional. ## What this means in practice - Gather camera footage from the farm own tanks or pens across different light, water clarity and stocking levels - Label what staff care about, such as fish, visible injuries, unusual swimming and uneaten feed - Run new footage through the model and group flags by tank or pen and by time of day - Have trained staff review each flag and send any health concern to a qualified fish health professional - Add reviewed clips back into training so the model fits the farm own species, cameras and water ## How Lid Vizion approaches it We start with the business decision and operating context, define ownership and measurable milestones, then use configuration, integrations, automation, or custom software only where each earns its place. ## More on Automation & custom AI - [How can a conservation or land team use computer vision to sort large batches of trail camera photos?](https://lidvizion.ai/answers/how-to-sort-trail-camera-wildlife-photos-with-computer-vision/) - [How can a utility use computer vision to review insulator photos from drone and line patrols?](https://lidvizion.ai/answers/how-to-inspect-power-line-insulators-with-computer-vision/) - [How can computer vision help a mine, quarry, plant or warehouse watch conveyor belts for damage?](https://lidvizion.ai/answers/how-to-monitor-conveyor-belt-wear-with-computer-vision/) [Compare services](https://lidvizion.ai/services/) · [Use a planning tool](https://lidvizion.ai/tools/) · [Explore workflow use cases](https://lidvizion.ai/use-cases/) · [More direct answers](https://lidvizion.ai/answers/) Talk it through ## Have a version of this question inside your company? Bring the decision, the constraints, and what a good outcome looks like. [Talk through the decision](https://lidvizion.ai/contact/?need=ai-workflow&from=%2Fanswers%2Fhow-to-monitor-fish-in-aquaculture-with-computer-vision%2F#write) · [Book a call](https://calendar.app.google/bB26LdA9e2gmGFp69)

What this means in practice

How Lid Vizion approaches it

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