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Automated Fish Quality Grading

March 18th, 2008 by Andrew

Machine vision and image analysis can enable the sorting of fish into “production”, “ordinary” and “superior” classes.

Today, fish are graded manually by employees who assess their shape, colour and any surface injuries to the fish. Consumers demand salmon fillets that are fresh and regular in colour and shape. This can be difficult to achieve using a manual approach.

Automation can increase productivity and raise processing rates while improving the consistency of classification. Norwegian science organisation SINTEF has supported an array of research projects related to automated processing of aquaculture product. Information about its automated fish processing capabilities can be found here.


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