40‐1: Development of the Auto Monitoring Method of Laser Beam Shape and Size by Employing the AI and Computer Vision Algorithm

Abstract

The beam shape of the laser cut process to change the display shape is very important in the laser cutting quality, and the laser beam shape was measured by using the beam profiler as a measuring instrument. Since the beam profiler cannot be used due to damage caused by the high laser processing power used in mass production, the beam shape be managed that the sample was created by laser beam cross shot drawing on the material and it was manually measured by using a microscope. However, this method had problems with a long management period (measured once a month), a machine down for the measurement, the measurement deviation between engineers, and inability to manage history, so it was necessary to develop AI‐based shape automatic management technology. To solve this problem, an AI agent program with the AI technology to determine OK, NG of laser beam and the beam size measurement technology based on the image processing was developed and applied to the production line. Through this program, automatic management and history management of beam shape and size that was not possible with previous method have become possible. It was confirmed that the AI and image processing technologies developed through this study can be important technologies that can have a ripple effect on the development of other technologies.