Jul 21, 2020 12:30 PM
| Last Modified: Jul 22, 2020 5:19 AM
Ed Hutchins, Wolfspeed, outlines the new and powerful ways engineers are striving to create zero-defect products.Organizations are embracing more automation and the rise of the digital economy in the production and delivery of products. And with in-line sensors afforded by the rise of the Industrial Internet of Things (IIoT) and advanced measurement systems, they are generating and collecting a growing volume of data that is more complex than ever before. Ed Hutchins, Product Engineering Manager at Wolfspeed, A Cree Company, explains in this video clip. You can watch the complete panel conversation on demand.
“I started talking about that earlier, about the massive amounts of data, but that’s just the start of it. I think the way that data is being used is changing, and it’s changed very recently. It used to be with automated inspection tools, you’d define recipes to look for specific features, specific attributes, specific defects.
"But now with the advent of machine learning and deep neural networks, you’re able to create an algorithm that looks for a defect that you can see by eye but would have a hard time reducing to a finite set of parameters or a recipe for instruction.
"And what these things are allowing us to do is to find defects that otherwise would have required human intervention or sampling, and now we can look at the whole picture.
"We can look at the whole product, we can look at every wafer, we can look at every example to try to find these features as a way for striving for zero defect, which, again, is part of the expectation of our customers these days.”