■There is a reason why we have sold over 1,000 units in 20 years
Introducing the FIS-200, an automatic appearance sensor that inspects good/defective products with high yield. While attempts have been made to automate visual inspections for reasons such as stabilizing quality and labor shortages, in the end they have to rely on human eyes, the settings are troublesome, and when trying to prevent the outflow of defective products, many good products are judged as defective. Many people may be worried about automating visual inspections because they have tried to introduce it, but have stopped using it or found it ``not working''.
OVIT's automatic visual inspection sensor FIS-200 reliably automates visual inspection using a simple method that anyone can understand. The inspection method is based on "comparison inspection of non-defective products," which looks for differences between good products and non-defective products in the same way as human inspection.
In the conventional visual inspection method of ``defining defective products,'' there are gray zones that are not defined as defects, and handling these gray areas lowers yields and conversely causes secondary leakage of defects. This system, which uses statistical methods to define the difference between a good product and a good product, has already greatly contributed to automation, labor saving, quality control, and improved work efficiency for customers in various fields such as automobiles, electrical equipment, electronics, materials, and food. We are doing so.
This is the version of our website addressed to speakers of English in
the United States.
If you are a resident of another country, please select the appropriate version of Metoree for your country in the drop-down menu.