Publications (2)2.26 Total impact
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Article: An automated salmonid slaughter line using machine vision
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ABSTRACT: Purpose - The purpose of this paper is to describe a new slaughter line for industrial slaughtering of salmonid fish. Traditionally, slaughtering of farmed salmonids - salmon and rainbow trout - was done manually by bleed cutting with knives. Using the new slaughter line that includes 3D machine vision and a bleed-cutting robot, slaughtering is almost completely automated - nominally requiring only one person to supervise the line and manually bleed cut the fish not handled by the robot. Design/methodology/approach - The design approach of the salmonid slaughter line focuses on using 3D machine vision and a bleed-cutting robot with four biaxial pneumatic actuators to handle the slaughtering of pre-anesthetized salmon and rainbow trout. Findings - Under normal operating conditions, the slaughter line is capable of automatically slaughtering 85-95 percent of all fish at an average feed rate of 30-80 salmon/min, and the remaining 5-15 percent are slaughtered manually. Several issues have been discovered, that should be addressed to improve the slaughter line. Originality/value - This paper presents a new complete salmonid slaughter line that has reduced the need for manual labor in salmonid slaughtering plants.Industrial Robot 06/2011; 38(4):399-405. · 0.60 Impact Factor -
Article: A simple method for weight estimation of whole herring (Clupea harengus) using planar X-ray imaging.
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ABSTRACT: Fish weight is one of the key parameters used in commercial sorting of fresh fish. The capability of on-line and accurate estimation of the weight of each individual fish has a direct impact on profitability for the fish processors. Planar X-ray images of whole herring (n=16) were taken using a commercial medical X-ray apparatus. The integral intensity of all pixels in each image was calculated and correlated with the weight of the respective fish producing a linear relationship with a high correlation factor (R2=0.992) and a calculated mean prediction error of 2.5%. Planar X-ray imaging combined with simple image processing was successfully used to predict weight of whole herring. The technique has a potential to be used industrially for on-line weight estimation in sorting/grading systems.Journal of Food Science 04/2011; 76(3):E328-31. · 1.66 Impact Factor
