[AI Image Inspection Case] Detection of Defects on Coated Panels
Detects difficult-to-image painted items!
Painted products can be considered as challenging work for capturing images of defects. Clearly identifying defective areas is a very important factor for image inspection. We will explore different lighting techniques for verification. 【Inspection Settings and Results】 The process of enclosing the areas we want to detect in rectangles, as shown in the image, is called annotation. In practice, it is necessary to capture and annotate as many defects as possible. The number of images required depends on the inspection, but we believe around 50 images are necessary. Given the size of the defects, we propose using two cameras (considering the inspection cycle, this means two systems). By training various patterns of defects in a software called DeepSky in advance, it becomes possible to detect unknown defects as well. 【Software Used】 DeepSky
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