Headwall Acquires Hyperspectral Imaging Software Company perClass BV

BOLTON, Mass., July 7, 2022 — Hyperspectral technology company Headwall Photonics has made a strategic growth investment in perClass BV, developer of the perClass Mira spectral analysis software package. With the investment, perClass becomes part of the Headwall Group, of which perClass shareholders are now partial owners.

The acquired software, employed in Headwall’s Hyperspec MV.X, integrates with various spectral sensors and enables intuitive spectral imaging analysis for machine vision applications in research, industry, and other commercial deployments. Headwall additionally develops OEM devices for applications in remote sensing and industrial machine vision including food quality/safety inspection, precision agriculture, and environmental monitoring. Don Battistoni, president of Headwall, said that perClass Mira helps to expand addressable use cases for spectral imaging across industrial markets.

Earlier this year, Headwall completed a recapitalization led by private equity firm Arsenal Capital Partners that resulted in in Arsenal becoming the majority owner.

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Published: July 2022

Glossary

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...
computer vision: Computer vision enables computers to interpret and make decisions based on visual data, such as images and videos. It involves the development of algorithms, techniques, and systems that enable machines to gain an understanding of the visual world, similar to how humans perceive and interpret visual information. Key aspects and tasks within computer vision include: Image recognition: Identifying and categorizing objects, scenes, or patterns within images. This involves training algorithms...

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