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Headwall Signs Distributor in Italy

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Headwall Photonics has signed Diessechem srl of Milan and Rome as distributor of its hyperspectral sensors and Raman imagers in Italy.

Diessechem will manage Headwall’s products through its Diesseinstrument unit. Product manager Francesco Beccari, who has extensive experience in spectral imaging, will handle sales, support and training, Headwall said.

Since Diessechem handles complementary imaging technologies, it will be able to provide end-to-end, application-specific products built around Headwall’s sensors, the company said.

“Spectral imaging is much more than simply a catalog of products,” Beccari said. “Our ability to now offer Headwall’s industry-leading hyperspectral imagers across all our markets represents a very important advancement for our clients across Italy.”

“From pharmaceuticals to food processing, to remote sensing, Diessechem is uniquely able to fulfill rising demand for Headwall’s spectral imaging instruments and custom spectrometers as well as provide the critical training and engineering assistance vital to every successful deployment,” Headwall CEO David Bannon said.

Headwall’s sensors are used for remote sensing, advanced machine vision, pharmaceuticals, biotechnology, and mining and mineral exploration.

For more information, visit: www.headwallphotonics.com or www.diessechem.com 
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Published: October 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...
AmericasBusinessDavid BannonDiesseinstrumentEuropeFrancesco BeccariHeadwallHeadwall Photonicshyperspectral imagingImagingItalymachine visionMassachusettsSensors & Detectorsspectral imaging

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