Sanovo has introduced the Computer Vision systems to detect shell cracks.  The system is based on visualization of eggs at high speed with artificial intelligence-based analysis to identify defects.

Advanced AI-based crack detection uses convolutional neural networks to recognize crack patterns, irrespective of variations in shell color, texture and shape.  The Sanovo crack detector acquires high-quality images of individual eggs using specially designed cameras.  A computer vision system applies AI algorithms to recognize cracks based on a data set of annotated images.

AI-based crack detection is more accurate than acoustic-based detection, providing improved quality control.  The machine vision system eliminates cross-contamination among eggs.  The system is electronic without moving parts, and maintenance is accordingly reduced.  Eventually AI-based systems will be able to analyze for other quality parameters including uniformity in size and abnormalities in shape.

For additional information access the Sanovo website by clicking on to the company logo on the right side of the Welcome page.