[AI Image Inspection Case] Grommet Presence Inspection

We will inspect the presence or absence of eyelets and rubber parts using AI image inspection software.

In the manufacturing of metal press products such as automotive parts, there is often a process for attaching eyelets. This time, we will conduct inspections for the presence or absence of eyelets and rubber parts. We received good products and defective products that do not have all the parts attached. 【Inspection Settings and Results】 Using DeepSky's inspection function, we were able to classify good products and defective products without all the parts as negative by using them as teachers and marking random positions where eyelets are missing. It is set to pass only when the correct quantity of eyelets (and rubber parts) is detected. If even one eyelet is missing, it will be marked as negative due to quantity mismatch. If you want to check "which eyelet is missing," it is possible to use the area specification function, but for now, we conducted the inspection with settings to determine only OK or NG. The left image shows the work of enclosing the parts we want to teach, called "annotation." The right image is the detection frame image, where the numbers represent the AI's confidence level percentage, referred to as "recognition points."

Image Processing Software