Automakers, for example, now have a target defect rate for the integrated systems of less than 1 percent. That’s putting pressure on the original equipment makers (OEMs) and their suppliers who have to meet these targets – at the same time as products and manufacturing processes are becoming increasingly complex, featuring numerous activities that impact quality, performance, and yield. To prevent failures of components, systems, and ultimately products, manufacturers need reliable methods to find defects.
Machine Learning Boosts Quality Control
Digital quality control tools can make manufacturing more efficient