Machine vision is becoming increasingly important for automating the manufacturing process. However, not all machine vision is created equal. Traditional rules-based machine vision excels at inspecting highly repeatable products. But with the help of AI, machine vision can inspect in greater detail and tackle more complex problems, such as products with a high variance of naturally occurring organic variability.
In the food industry, AI-enabled machine vision incorporated into the production process makes it possible to grade cuts of meat to help manufacturers appropriately price their products or to check the quality of received produce to ensure manufacturers aren’t overpaying for low-quality products.
This session presents use cases depicting how AI-enabled machine vision is advancing automation in the manufacturing process through vision-guided robotics and visual inspection. Together these technologies increase productivity and reduce waste while improving the safety and efficiency of tasks traditionally performed by humans.