[AI Image Inspection Case] Washer Discrimination

We will conduct an inspection to identify discoloration of parts (washers) using AI image inspection software!

This is a request for a free evaluation to distinguish discoloration in parts (washers). We received an inquiry from a manufacturer that produces everything from fine electronic components to large fire-resistant glass. While looking forward to future developments, we conducted a simple verification test to identify the washers as an entry point. In the free sample evaluation, we will first conduct a simple verification using the samples or images provided and report the results. During the simple verification, we will evaluate whether the desired detection/judgment can be achieved using our internal equipment. If detection or judgment is possible in the simple verification, we recommend conducting a test (feasibility verification) assuming actual operation, where we will evaluate processing time and judgment accuracy. If feasibility verification is to be conducted, you can choose to continue with our company (for a fee) or use our loaned equipment for verification at your company. [Inspection Settings and Results] We labeled the normal washers as OK and the washers with part of them painted black as NG. We annotated six images with changed positions for the time being. The detection was accurate. It is possible to set how many OKs are needed to pass or if there is any NG to fail. Other detailed settings allow for recognition point counts and area judgments.

Image Processing Software