Machine Vision Using for Detecting Defects in the Flow of Goods

Reliability and Statistics in Transportation and Communication (RelStat 2020). Lecture Notes in Networks and Systems. Vol.195 2021
Rodions Saltanovs, Aleksander Krainyukov

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.

Atslēgas vārdi
Machine vision; Visual inspection; Identification; Egg defects;
DOI
10.1007/978-3-030-68476-1_36
Hipersaite
https://link.springer.com/chapter/10.1007/978-3-030-68476-1_36

Saltanovs, R., Krainyukov, A. Machine Vision Using for Detecting Defects in the Flow of Goods. No: Reliability and Statistics in Transportation and Communication (RelStat 2020). Lecture Notes in Networks and Systems. Vol.195, Latvija, Riga, 14.-17. oktobris, 2020. Cham: Springer, 2021, 389.-397.lpp. ISBN 978-3-030-68475-4. e-ISBN 978-3-030-68476-1. Pieejams: doi:10.1007/978-3-030-68476-1_36

Publikācijas valoda
English (en)