June 18, 2018

Finnish innovation recognised by Frost & Sullivan

VTT has created the world’s first mobile hyperspectral device by converting a regular iPhone camera into a new kind of optical sensor.
VTT has created the world’s first mobile hyperspectral device by converting a regular iPhone camera into a new kind of optical sensor.
VTT

VTT Technical Research Centre of Finland’s hyperspectral imaging technology has seen Frost & Sullivan rank it a “company to watch”.

The recognition was bestowed in the global market research and consulting company’s recent report, 2018 Top Information and Communication Technologies. Altogether, Frost & Sullivan looked at more than 1 000 technologies, measuring their high impact and disruption potential.

According to the report, VTT  “has developed hyperspectral imaging technology that takes advantage of the visible and near-infrared (VNIR) wavelengths to enable even affordable mobile phones to detect spectral imagery and use AI to interpret data within these images. VTT has also pioneered the launch of the HE world’s first visible and whort-wave infrared (SWIR) hyperspectral imagers on space CubeSat missions.”

Hyperspectral imaging is an extremely accurate method for identifying and distinguishing different materials based on the light reflection properties of chemical compounds. VTT’s roots in the research and development of hyperspectral imaging stretch back to 1993.

Recent years have seen VTT develop hyperspectral imaging technology with a focus on cost-efficiency and mobility. This facilitates the introduction of new AI applications into consumer devices.

“Our team’s aim is to create societal impact through successful development of spectral sensing and imaging products together with companies,” says Anna Rissanen, VTT’s microspectrometers team leader. “The core technology is, on one hand, capable of addressing very demanding measurements in space or agriculture, while, on the other, also having a unique capability to scale to very high manufacturing volumes, and thus enables low-cost sensors with the potential to generate completely new markets for hyperspectral imaging.”

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