Acronym NA
Category
Aquaculture
Seafood Processing
Title Automatisk singulering og kvalitetssortering i produksjonslinje for hel laks - Automatic singling and quality sorting in the production line for whole salmon
Programme National Programme
Instrument (FP6)
Contact Type (FP7)
Strand (Interreg)
NA
Theme (FP7)
Activity Area (FP6)
Regional Area (Interreg)
Action (COST)
NA
Specific Programme (FP7)
NA
Funding source National
Coordinator Harry Westavik
Coordinator email harry.westavik@sintef.no
Coordinator institution
SINTEF-SFH - SINTEF Fisheries and Aquaculture (Norway)
Institutions involved
NA - SINTEF Ocean (Norway) ,
Start year 2013
End year 2016
Funding (€) € 460,470
Website https://www.fhf.no/prosjekter/prosjektbasen/900847/
Summary In the project, a concept was developed and demonstrated that, with the help of advanced machine vision, can reveal external defects in gutted salmon, and sort out fish according to certain quality criteria. To achieve an image of all sides of the fish, a 360-degree rig was built with cameras and 3 lasers that stand 120 degrees apart.
The line delivers a full 3D scan of a gutted salmon, which can be rotated in all directions and contains all the information about external properties in a resolution that is sufficient to carry out automatic classification based on defined requirements, and at a speed that will satisfy the need for a full-scale production line.
To facilitate the measurement of quality, a system was developed for alignment and singulation of fish so that the fish are delivered individually with the head first to the measuring station.
The results from the project have been used by technology companies that have constructed a full-scale production line at a Norwegian slaughterhouse. The line will be operational during 2016.
The production line uses the new 3D scanner to classify salmon and provide information that is used to sort out fish that does not meet the requirements for the best quality.
Goal: to develop a concept for automatic orientation, singulation and sorting of whole salmon based on external quality parameters.
Sub-goals
• To make it probable that the work tasks can be automated on an industrial scale
• To improve the salmon industry's competitiveness with a view to reduced production costs and better documentation of product quality.
Keywords
Fish;
Fish quality;
Salmon;
Technology;
Marine Region
76
Not associated to marine areas
0
Marine Region Map