Search Menu
Photonics Media Photonics Marketplace Photonics Spectra BioPhotonics Vision Spectra Photonics Showcase Photonics ProdSpec Photonics Handbook

Market Forecast 2022: Hyperspectral Imaging Moves Toward Wider Adoption

Jul 21, 2022
Facebook Twitter LinkedIn Email
Login  Register
Sponsored by
Headwall Photonics Inc.
Machine vision is increasingly important for many applications, such as object classification. However, relying on conventional RGB imaging is sometimes insufficient. The input images are just too similar, regardless of algorithmic sophistication.

Classifying visually indistinguishable objects is highly desirable for many applications: sorting for recycling, identifying unwanted foreign objects, assessing food ripeness, monitoring crop growth, performing geological surveillance, and more. This capability creates an extensive opportunity for hyperspectral imaging, which adds the extra dimension of wavelength to conventional images.

Thus far, its the technology’s adoption has largely been restricted to relatively niche applications. With further improvements in cost, data analysis capabilities, and business models that better meet customer needs, there is extensive scope for hyperspectral imaging to be much more widely adopted across markets as varied as autonomous vehicles and cosmetics.

Dyson outlines hyperspectral imaging basics, along with potential future development directions and emerging applications. In particular, he discusses the opportunities for emerging cheaper SWIR imaging technologies within the hyperspectral imaging space. He also covers how hyperspectral imaging competes with other technologies, along with the size and scope of the potential markets.

***This presentation premiered during the 2022 Vision Spectra Conference. For more information on Photonics Media conferences, visit

About the presenter:
Matthew DysonMatthew Dyson is a senior technology analyst at IDTechEx, based in London. He received master’s and doctorate degrees in physics from Imperial College London, where he investigated the optoelectronic properties of organic semiconductors. This was followed by post-doctoral research at Eindhoven Technical University in the Netherlands, where he focused primarily on organic photodetectors. At IDTechEx, Matthew utilizes this technical background to cover both emerging image sensor technologies and printed/flexible electronics.
market reportmachine visionVision Spectrahyperspectral imaging
Submit a Feature Article Submit a Press Release
Terms & Conditions Privacy Policy About Us Contact Us
Facebook Twitter Instagram LinkedIn YouTube RSS
©2023 Photonics Media, 100 West St., Pittsfield, MA, 01201 USA, [email protected]

Photonics Media, Laurin Publishing
x We deliver – right to your inbox. Subscribe FREE to our newsletters.
We use cookies to improve user experience and analyze our website traffic as stated in our Privacy Policy. By using this website, you agree to the use of cookies unless you have disabled them.