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A Multi-Flow Production Line for Sorting of Eggs Using Image Processing.

Fatih Akkoyun1, Adem Ozcelik2, Ibrahim Arpaci3

  • 1Department of Mechanical and Metal Technologies, Trabzon Vocational School, Karadeniz Technical University, Trabzon 61300, Turkey.

Sensors (Basel, Switzerland)
|January 8, 2023
PubMed
Summary
This summary is machine-generated.

This study introduces a faster, cheaper egg classification method using image processing technology. The developed system accurately estimates egg weight in real-time on a production line.

Keywords:
computer visionegg weight estimationimage processingindustrial egg gradingmulti-flow production line

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Area of Science:

  • Agricultural Engineering
  • Computer Vision
  • Food Science

Background:

  • Traditional egg classification relies on manual methods or load cells, which can be slow and costly.
  • Image processing offers a promising alternative for rapid and economical data analysis in the agri-food sector.

Purpose of the Study:

  • To develop and evaluate an image processing system for real-time chicken egg classification.
  • To assess the feasibility of using visual data for accurate egg weight estimation in industrial settings.

Main Methods:

  • A color camera captured images of moving eggs on a motorized roller conveyor within an illumination cabinet.
  • An image processing approach was implemented for real-time egg classification and weight prediction.
  • Statistical analysis, including linear correlation, was used to validate the results.

Main Results:

  • The image processing system successfully classified chicken eggs in real-time on an industrial production line.
  • Significant correlations were found between the estimated and actual egg weights.
  • A high coefficient of linear correlation (R² = 0.95) was achieved, indicating strong agreement.

Conclusions:

  • Image processing provides a viable, efficient, and cost-effective solution for real-time egg classification.
  • The developed system demonstrates high accuracy in predicting egg weight, meeting industrial requirements.