Abstract
The paper considers the implementation of machine vision in the field of visual quality control of eggs. Hardware and software components are described that allow for visual inspection and to Recognition egg defects. The proposed system for recognizing defects in chicken eggs was tested on a conveyor of the poultry farm and estimates of errors in recognizing defects were obtained. Possibility is shown to create compact and cheap points of quality analysis to place them on all sections of the conveyor of the poultry farm.
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Acknowledgment
This paper has been published within the research project, implemented thanks to accordance with the contract No. 1.2.1.1/18/A/002 between “Latvian Food Industry Competence Centre” Ltd. and the Central Finance and Contracting Agency, the study is conducted by “Balticovo” Ltd. with support from the European Regional Development Fund (ERDF) within the framework of the project “Latvian Food Industry Competence Centre”.
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Saltanovs, R., Krainyukov, A. (2021). Machine Vision Using for Detecting Defects in the Flow of Goods. In: Kabashkin, I., Yatskiv, I., Prentkovskis, O. (eds) Reliability and Statistics in Transportation and Communication. RelStat 2020. Lecture Notes in Networks and Systems, vol 195. Springer, Cham. https://doi.org/10.1007/978-3-030-68476-1_36
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DOI: https://doi.org/10.1007/978-3-030-68476-1_36
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