Lynch Joins Headwall Photonics

Headwall Photonics Inc. is expanding into Europe and has hired Kevin Lynch as European sales manager to support customers and partners in the region.

“In response to customer demand for Headwall’s products and technology from the European community, we have expanded our team through the addition of Kevin Lynch, an experienced industry professional based out of the UK,” CEO David Bannon said.

The company’s expansion is the result of increased demand for its patented imaging sensor technology, which offers end users high spectral and spatial resolution with a wide field of view. Its products include hyperspectral sensors, Raman imagers and custom OEM spectrometers that feature aberration-corrected optics designed specifically for harsh environments such as machine vision for in-line inspection and airborne applications.

“I am looking forward to contributing to Headwall’s success and growing our European business,” said Lynch, who has experience in spectral imaging solutions and reflective spectroscopy.

For more information, visit: www.headwallphotonics.com

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About Headwall Photonics Inc.

Published: June 2013

Glossary

hyperspectral imaging: Hyperspectral imaging is an advanced imaging technique that captures and processes information from across the electromagnetic spectrum. Unlike traditional imaging systems that record only a few spectral bands (such as red, green, and blue in visible light), hyperspectral imaging collects data in numerous contiguous bands, covering a wide range of wavelengths. This extended spectral coverage enables detailed analysis and characterization of materials based on their spectral signatures. Key...
machine vision: Machine vision, also known as computer vision or computer sight, refers to the technology that enables machines, typically computers, to interpret and understand visual information from the world, much like the human visual system. It involves the development and application of algorithms and systems that allow machines to acquire, process, analyze, and make decisions based on visual data. Key aspects of machine vision include: Image acquisition: Machine vision systems use various...

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