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

In egg production facilities, the classification of eggs is carried out either manually or by using sophisticated systems such as load cells. However, there is a need for the classification of eggs to be carried out with faster and cheaper methods. In the agri-food industry, the use of image processing technology is continuously increasing due to the data processing speed and cost-effective solutions. In this study, an image processing approach was used to classify chicken eggs on an industrial roller conveyor line in real-time. A color camera was used to acquire images in an illumination cabinet on a motorized roller conveyor while eggs are moving on the movement halls. The system successfully operated for the grading of eggs in the industrial multi-flow production line in real-time. There were significant correlations among measured weights of the eggs after image processing. The coefficient of linear correlation (R-2) between measured and actual weights was 0.95.

Automated summary

Egg classification can be achieved using image processing technology, which enables fast and cost-effective classification by obtaining and analyzing real-time images. This method has been successfully applied in an industrial production line.