Case Study: SEeMAx improves egg quality detection and reduces false rejections with Capgemini

Capgemini and SEeMAx improve automated egg quality detection for Rica Granja

SEeMAx, a specialist in egg quality control, faced the challenge of improving its automated systems to process eggs faster and more reliably, needing to better identify defects to maximize production efficiency. To address this, they partnered with vendor Capgemini to expand their existing artificial intelligence technology.

Capgemini successfully implemented its deep learning algorithms into SEeMAx's systems, which utilized high-definition cameras and specialized lighting. This solution dramatically improved sorting accuracy and speed. The measurable impact was significant, with one food producer saving 1.8 million eggs annually from false defects and achieving a processing rate of 270,000 eggs per hour, all while reducing the need for manual inspection labor.