By synthesizing multiple pieces of imaging data using many light sources, halation and shadows can be removed during inspection, enabling imaging that only accentuates the configuration of the workpiece or parts that are uneven (flaws).
Given that it is able to capture characteristics that are impossible or difficult to see with normal imaging devices, such as aluminum die casts and scratches on the panel surface, it is also very suited for AI applications, in addition to rule-based image processing.
Through this device, it is possible to quantify inspections of minute flaws and stabilize the precision of inspections. In addition, since it is able to capture flaws clearly, it can greatly reduce the number of images needed to train AI.