Application of computer vision in food industry to predict sexual dimorphism in poultry eggs during incubation

The need for non-invasive sex determination in bird eggs before incubation and during the incubation period is shown. Modern methods for assessing the sexual dimorphism of eggs based on Raman spectroscopy, mass spectroscopy, fluorescence, obtaining RGB images of the texture of blood vessels and measuring the egg shape index are analysed. Their advantages and disadvantages are shown. A computer colorimetric setup has been developed and described that will make it possible to make an inexpensive but reliable sex prediction based on the spatial asymmetry of the egg shape and differences in the texture of the blood vessels of future hens and cockerels.