Project Spotlight: Professor Chris Wirth on Non-invasive detection of defects during coatings manufacturing

Beyond negatively impacting the aesthetics of consumer products, defects during coating manufacturing can impair a product’s performance and cause premature failure. Dr. Chris Wirth and Dr. Sithara Vinod aim to utilize non-invasive image processing techniques to detect said defects, determine their cause and improve product performance. They intend to employ several imaging modalities and image processing algorithms to extract critical information and compare their methods to existing invasive quality control measurement tools. 

Learn more about the test models they are employing and their experimental strategy here!

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