Vol.8, No.4, November 2019.                                                                                                                                                                           ISSN: 2217-8309

                                                                                                                                                                                                                        eISSN: 2217-8333


TEM Journal



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,
Emil Stefanov, Plamen I. Daskalov


© 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.
Accepted:  12 November 2019.
Published: 30 November 2019.




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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