VTT’s hyperspectral imaging technology enables new artificial intelligence applications as a part of consumer devices

VTT’s hyperspectral imaging technology enables new artificial intelligence applications as a part of consumer devices

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VTT’s hyperspectral imaging technology enables new artificial intelligence applications as a part of consumer devices

New technology measures wavelengths not visible to the human eye

VTT Technical Research Centre of Finland has developed a highly cost-efficient hyperspectral imaging technology, which enables the introduction of new artificial intelligence applications into consumer devices. Spectral filtering technology takes advantage of the very-near-infrared (VNIR) wavelengths, which even low-cost mobile phone cameras can detect. Artificial intelligence can be used to interpret this environmental spectral data within images, which is not visible to the naked eye.

The developed hyperspectral camera uses VNIR wavelengths, which exceed the red colour seen by the human eye and are normally filtered out of standard camera images. The spectral data within the VNIR range enables detection and labelling of the materials and properties of different objects within the environment.

Spectral data of image objects generate information related e.g. to food safety or freshness, distinguishing between real and fake products, medicines, or security camera recordings. This information can be further utilized by wireless mobile applications created for sensor data interpretation. The facility can be integrated into our everyday surroundings to make them more intelligent, and incorporated into smart home systems and appliances, mobile devices, robots and autonomous vehicles, which need to interpret visual information in order to function securely.

“In future, an increasing share of vehicles and systems will become autonomous, and the need for reliable visual camera information for automated decision-making will increase. Adding the third spectral dimension to images could provide more safety and security for autonomous systems relying on machine vision and artificial intelligence to make decisions based on visual camera data”, comments Anna Rissanen, Research Team Leader at VTT.

Watch a video. https://youtu.be/DxlY5mowlUM

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