• Proceedings of the Korean Society of Precision Engineering Conference
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• 2007.11a
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• pp.103-104
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• 2007

• Transactions of the Korean Society of Mechanical Engineers A
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• v.32 no.10
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• pp.897-904
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• 2008

Egg grading machine is used in poultry raising industry to classify eggs by their weight and to pack up them. Packer holder mechanism is a main part of the egg grading machine, of which role is to take eggs fallen from conveyor belt, and afterward to transfer eggs vertically to mold tray. The vertical motion of packer holder is usually driven by slider-crank mechanism or cam. This paper describes development of the cam in packer holder based on kinematic analysis of packer holder mechanism and measurement of acceleration and noise of the cam to verify performance of it. Several cams that are designed and manufactured by the author of this paper according to different design specification are compared to determine the best solution for egg transfer in the packer holder mechanism.

• Journal of the Korean Society for Precision Engineering
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• v.25 no.2
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• pp.96-104
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• 2008

An egg grading machine is composed of many mechanisms of which functions are to carry eggs to the bucket in that sensors are located to categorize eggs by their weight, to transfer eggs from the basket of packer holder to the mold tray, to feed the mold tray dispenser after egg chairs are filled with eggs. This paper deals with the analysis and new design of packer holder mechanism of which function is transfer eggs vertically from the bucket conveyor to the mold tray dispenser. Egg is fragile to impact so in designing packer holder mechanism it is necessary to estimate moving speed, acceleration and impact when eggs are touched by any links of mechanism and mold tray dispenser. A new packer holder mechanism is proposed in this paper, which use quick return mechanism composed of 6 links with pin and contact joints.

• Proceedings of the Korean Society for Agricultural Machinery Conference
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• 1996.06c
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• pp.834-841
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• 1996

Egg production in Korea is becoming automated with a large scale farm. Although many operations in egg production have been and cracks are regraded as a critical problem. A computer vision system was built to generate images of a single , stationary egg. This system includes a CCD camera, a frame grabber board, a personal computer (IBM PC AT 486) and an incandescent back lighting system. Image processing algorithms were developed to inspect egg shell and to sort eggs. Those values of both gray level and area of dark spots in the egg image were used as criteria to detect holes in egg and those values of both area and roundness of dark spots in the egg and those values of both area and roundness of dark spots in the egg image were used to detect cracks in egg. Fro a sample of 300 eggs. this system was able to correctly analyze an egg for the presence of a defect 97.5% of the time. The weights of eggs were found to be linear to both the projected area and the perimeter of eggs v ewed from above. Those two values were used as criteria to sort eggs. Accuracy in grading was found to be 96.7% as compared with results from weight by electronic scale.