Quick and Intuitive Offline Hyperspectral Scanning to Support and Enable Real-Time Online Inspection Processes

The classification of raw and processed material and the detection of foreign material using real-time hyperspectral imaging in an industrial environment both greatly benefit from regular offline testing. Since material or classification standards can change over time, a rapid and intuitive way to scan and analyze material can help maintain or even improve performance in the factory.

Felsheim presents a tightly integrated hyperspectral-imaging system that allows interpretation of spectral images in minutes and allows speedy generation and deployment of classification models on the production and inspection lines.

About the presenter
George Killian, an applications scientist at Headwall, has an extensive science education and chemical analytics background. He received his bachelor's in chemistry from Providence College and has worked on various research teams utilizing spectroscopic analysis. As an integral part of the applications team in Bolton, Mass., he explores the growing potential of hyperspectral imaging to address important real-world needs with practical solutions, largely in but not limited to industrial machine vision.