Automating egg damage detection for improved quality control in the food industry using deep learning

The detection and classification of damage to eggs within the egg industry are of paramount importance for the production of healthy eggs. This study focuses on the automatic identification of cracks and surface damage in chicken eggs using deep learning algorithms. The goal is to enhance egg qualit...

Ausführliche Beschreibung