The ability to measure the size of the eggs, the ability to choose between the right and the bad eggs, and the competitiveness of the eggs in the market, also affect the economic benefits of the enterprises. In this paper, the technology of PLC and LABVIEW is used to design a system for the identification of the dirty spots and cracks and quality classification The control scheme and control flow chart are given, and the communication connection and data exchange contents of LABVIEW and PLC are established. the method of gray-scale, binarization and edge tracking of the image collected by LABVIEW software is analyzed, and the characteristics of the extraction of dirty spots and crack images are obtained. This method has realized the fast speed and intelligence of poultry egg quality detection, and has practical application value.
CITATION STYLE
Liu, Y., & Kong, R. J. (2018). Design of Poultry Egg Quality Detection System Based on LABVIEW and PLC. In Lecture Notes in Electrical Engineering (Vol. 451, pp. 285–294). Springer Verlag. https://doi.org/10.1007/978-981-10-5768-7_31
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