[AI Image Inspection Case] Detection of Black Parts on a Black Background

It enables the detection of black foreign objects and parts on a black background, which has been considered difficult to detect until now.

This is an inquiry from a manufacturer of resin-molded parts for automotive interior components, with whom we have had transactions in the past. Detecting black foreign objects or parts on a black background has been considered a challenging inspection task until now. The image inspection software DeepSky, which uses AI (deep learning), is capable of recognizing such similarly colored parts and foreign objects. 【Inspection Settings and Results】 Using a 1.3-megapixel camera, we captured approximately 1/4 of the overall field of view and conducted learning and detection. As a result, it was possible to identify the types of clips and the number of tackers under the verification environment. However, for items like fasteners attached to sloped surfaces where tackers are difficult to see, detection is likely to be challenging, so adjustments to the camera angle will be necessary. We categorized the labels into 11 types (naming and registering the items we want to find). We conducted simple tests after training with 13 teacher images for 1600 steps. 【Software Used】 Software used: DeepSky

Image Processing Software