ReelData
An AI system built for land-based recirculating aquaculture, deciding feed amount by appetite
ReelData specializes in land-based aquaculture. Its cameras aren't just monitors but read the fish's appetite — feed more when they eat eagerly, cut back when they slow down, turning feeding from a fixed schedule into a real-time decision based on response.
Features and application scenarios
The product line is finely divided: AI Smart Feeding monitors appetite in real time and adjusts feed amount; ReelWeight does non-invasive biomass estimation; ReelVision is a dual-function camera combining behavior monitoring, feed counting, and general IP surveillance; ReelHealth does early detection of disease and stress via imaging; and ReelStress links feeding data with water-quality data to find the triggers causing stress. Target customers are land-based farms at the smolt, post-smolt, and grow-out stages, with clients including Nordic operators like Samherji and Salmon Evolution.
Suited to owners and technical managers of recirculating aquaculture systems (RAS). Taiwan has had scattered investment in indoor recirculating aquaculture in recent years (especially grouper and some high-value fish species), but feed cost and water-quality management still rely on experience-based values. ReelData's thinking is worth referencing: treating feed waste, water-quality deterioration, and fish stress as one interconnected system rather than three departments each managing their own.
Main features
- AI Smart Feeding: adjusts feed amount in real time by appetite
- ReelWeight non-invasive biomass estimation
- ReelVision dual-function camera (behavior monitoring + IP surveillance)
- ReelHealth early detection of disease and stress
- ReelStress links feeding and water-quality data to find stress sources
Common uses
- Feeding optimization for recirculating-aquaculture farms
- Biomass estimation and shipping planning
- Early disease warning
- Correlation analysis of water quality and fish stress
Key Features
- AI Smart Feeding: adjusts feed amount in real time by appetite
- ReelWeight non-invasive biomass estimation
- ReelVision dual-function camera (behavior monitoring + IP surveillance)
- ReelHealth early detection of disease and stress
- ReelStress links feeding and water-quality data to find stress sources
Pros
- Designed for land-based recirculating aquaculture, more scenario-fitting than general tools
- Feeding optimization directly targets the biggest cost item — feed
- Multiple modules share the same camera set, so hardware investment can be amortized
Cons
- Salmon/trout are the main validated species
- Requires integration with existing RAS equipment; adoption is a project, not plug-and-play
- Pricing not public; inquiry needed
Use Cases
- Feeding optimization for recirculating-aquaculture farms
- Biomass estimation and shipping planning
- Early disease warning
- Correlation analysis of water quality and fish stress
Editor's Note
'Deciding feeding by the fish's appetite' sounds like a veteran farmer's intuition; the difference is this system watches 24 hours a day and never gets tired.
FAQ
How is it different from a regular aquaculture surveillance camera?
Regular surveillance just records footage for people to watch; ReelData turns footage into decision signals — for example, 'appetite is now down 30%, suggest stopping feeding.' The difference is it outputs action suggestions, not video files.
Can it only be used for salmon?
The official validation and client cases concentrate on salmon/trout; other species need separate confirmation of model support. If you raise warm-water species, be sure to ask the vendor for real test data on the same species before adopting.