When it comes to selecting an industrial nondestructive test (NDT) inspection system, quality managers invest considerable time researching systems and considering the impact of every available feature on their business.
It is indisputable that automated controls have made the post-process monitoring of finished parts faster and easier than ever before. Even when applied after machining is complete, intelligent controls can provide three essential quality functions: automatic logging of the process routes and outcomes of cutting operations, on-machine verification, and post-process reporting.
Drawing from 30 years of experience using neural networks in various machine vision applications, Ned will share anecdotes and examples to help you predict which kinds of applications are going to be AI wins and which ones are going to give you fits.