Moba's evolution from mechanical detection to vision-based detection began with the introduction of visual crack detection. Previously, the most effective method of detecting cracks involved acoustic tests on the eggshell, by tapping it like a wine glass. While this technology was highly reliable, Moba found a way to eliminate the need for direct contact with the eggshell by introducing the visual crack detector. The true game-changer in this development was AI. The AI system is trained to detect nuances beyond the capabilities of human recognition. Since eggs are natural products and no two cracks are the same, these networks are trained using thousands of sample pictures, which teach them to distinguish between what is correct and what is incorrect. With the help of AI, even the tiniest cracks that are invisible to the human eye can be detected, regardless the color of the eggs!

Through extensive research and development, we have successfully developed a revolutionary method for weighing eggs using AI. By training our AI system with a vast dataset of thousands of egg images along with their corresponding weights, the model has acquired the ability to recognize visual characteristics unique to each egg and correlate them with their specific weights. Once the AI model is trained, it can seamlessly determine the weight of a new egg by analyzing its image. Gone are the days of physical contact — the egg grader simply captures multiple images of each egg, and our advanced technology delivers an accurate weight calculation.

And now Moba can offer AI in vision weighing, egg inspection, and crack detection on both the Omnia PX530 and PX700. This PX+ offers a comprehensive solution that eliminates the need for direct egg contact, provides easy operation, simplifies cleaning procedures, and requires minimal maintenance. With its reliable performance, the PX+ empowers our customers to concentrate on enhancing their business outcomes.