Development of an automatic egg fertility detection system applying image processing technique

Early detection of infertile and non-hatchable eggs benefits hatcheries by saving space, reducing costs, and preventing contamination from spoiled eggs. An automated system has been developed to detect and mark non-hatchable eggs efficiently. The system includes a conveyor that moves trays of 100 eggs through a high-power LED light assembly. Images of the illuminated eggs are captured by an industrial camera and processed using image processing technology. The eggs, analyzed 25 at a time, are filtered through an HSV filter and classified based on the blurred area. The classification results are then used to control stepper motors that mark spoiled eggs. Real-time experiments demonstrated an average accuracy rate of approximately 82.55% for eggs aged 4 days or more, with a processing speed of under 15 seconds per batch of 100 eggs.