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Aquaticode Launches ‘AquaLens’ AI System for Automated Deformity Detection

Aquaculture technology company Aquaticode has officially launched AquaLens, an AI-powered automated system designed to scan, identify, and sort deformed juvenile fish in hatchery settings.

Key Takeaways

  • High-Throughput Automation: AquaLens can process up to 350,000 juveniles per day (weighing between 1g and 10g), replacing manual, visual inspection teams that typically require 15 to 30 workers per shift.
  • Deep Learning Precision: Using multi-angle optical scanning and real-time deep learning, the system identifies structural deformities in the jaw, spine, operculum, nose, and fins with near 100% accuracy.
  • Soft-Touch Sorting: Deformed fish are automatically sorted into commercial and non-commercial streams without manual handling, minimizing handling stress and supporting fish welfare.
  • Feed & Space Efficiency: Early removal of non-viable stock prevents wasted feed, tank capacity, and labor on fish that would otherwise consume resources until harvest.
  • Pay-Per-Fish Service Model: The platform is offered as a service priced per fish sorted, requiring no upfront capital expenditure.

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