
To detect minute defects, a large-diameter optical system capable of capturing each inspection surface in a single shot is used, preventing false detections that may occur during the image stitching process.
A six-axis articulated robot carefully picks up the object using suction to prevent damage, then places it onto the inspection stage. The stage moves along the Z-axis within the optical system’s depth of field for imaging.
Afterward, the six-axis articulated robot picks up the object again and, through precise teaching, captures five additional surfaces using a single optical system.
Images captured using multi-channel lighting, consisting of white LED and blue light, are analyzed using AiV’s computer vision deep learning algorithm to detect irregular defects on metal surfaces.