[Technical Support] Would you like to try AI in food inspection?

It can be used for food inspections such as material defects, foreign matter contamination, insufficient quantity, and missing components!

Until now, Skylogic has primarily handled image inspection projects focused on industrial products. This is because the nature of industrial products, which involves "mass-producing the same item," matched well with conventional (rule-based) image processing methods. Conversely, it has been difficult to handle items with unstable colors and shapes, even among industrial products, using traditional methods. However, with the emergence of image processing methods utilizing AI (deep learning), items with variability can now be included in the scope of image processing. This is because AI excels at "detecting only what we want to find while ignoring trivial changes." Now, connecting this to the title, when we talk about "items with unstable colors and shapes," we are referring to food products. Issues such as material defects, foreign object contamination, quantity defects, and missing components... even when the subject is food, products produced in factories are likely to face similar challenges as industrial products. However, the difficulty of processing with traditional methods has led to these issues being abandoned. (And I have also given up on them.) Why not try AI?

basic information

To be honest, I cannot clearly determine "how far we can go" at this point. However, that is precisely why I encourage you to try and see how far we can get now. If there are any tests related to food that you have given up on in the past, please feel free to consult with us. Of course, we are also open to inquiries in fields other than food.