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Vol.8, No.4, November 2019. ISSN: 2217-8309 eISSN: 2217-8333
TEM Journal
TECHNOLOGY, EDUCATION, MANAGEMENT, INFORMATICS Association for Information Communication Technology Education and Science |
Design and Performance of an Automatic Egg Sorting System Based on Computer Vision
Jakhfer Alikhanov, Stanislav M. Penchev, Tsvetelina D. Georgieva,
Aidar Moldazhanov, Akmaral Kulmakhambetova, Zhandos Shynybay,
© 2019 Plamen Daskalov, published by UIKTEN. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. (CC BY-NC-ND 4.0)
Citation Information: TEM Journal. Volume 8, Issue 4, Pages 1319-1325, ISSN 2217-8309, DOI: 10.18421/TEM84-31, November 2019.
Received: 07 October 2019. Revised: 07 November 2019.
Abstract:
An automatic system for eggs sorting by indirect weight and shape assessment using computer vision is presented in the paper. Some basic geometric parameters of the eggs, namely: minor and major axis, area and perimeter, shape factor and shape index, are obtained using image processing algorithms. The weight is assessed from the geometric parameters using a regression model. The sorting accuracy of the proposed system is evaluated for two transport conveyors speeds, corresponding to 2 and 3 eggs per second. It is found that the overall sorting accuracy in each case is 94.6% and 90.3% respectively.
Keywords – Eggs sorting, computer vision, real – time inspection. |
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