[AI Image Inspection Case] Detection of Black Spots Including Printed Parts

Detecting the presence of "printing" and "dirt" in the work!

This is a simple evaluation to detect the "black spots" dirt on workpieces, based on inquiries from manufacturers of precision cleaning agents and car chemical products. The priorities are (1) the presence or absence of lot printing, (2) the proper position of lot printing (front and back of the bottle), and (3) the automation of inspection operations for label dirt. Our company generally offers two types of inspection software: the traditional rule-based image inspection "EasyInspector" and the AI-based "DeepSky." This time, we will use DeepSky, which specializes in detecting black spot-like dirt without fixed positioning, assessing the entire screen. 【Inspection Settings and Results】 As a result, we were able to detect the "presence or absence of printing" and "dirt." We registered multiple images (5 images during verification) of the "dirt" area using the inspection software "DeepSky," performed "annotation," and conducted "learning." Since there was only one type of dirt sample, we reproduced dirt in one additional location (by applying transparent tape and recreating black spots on top of it).

Image Processing Software