We developed a Fabry-Pérot Interferometer (FPI) technology to build universal, high resolution and fully programmable hyperspectral cameras, light sources and microspectrometers, in all spectral ranges, from UV to TIR. It finds its place in virtually all application fields and optical devices, from microscopes to nanosatellites. The MEMS version of the FPI is mass-manufacturable and can be integrated in very low cost cameras or optical devices (e.g. mobile phone). The technology is already in commercial products.
Our hyperspectral imaging technology can see things and events that have a spectral signature.
Everything has a spectral signature.
A growing number of companies understand the value of hyperspectral information, with great impact on business and society at large.
Hyperspectral imaging, or imaging spectroscopy, is a technology that measures the continuous spectrum of the light hitting each pixel of the image sensor. Going beyond the RGB colour space and the spectral limitations of the human eye opens endless opportunities e.g. differentiate materials with slightly different chemical compositions or detect biological processes and conditions in humans or the environment. The technology will eventually become ubiquitous with the ongoing miniaturisation and application development.
Hyperspectral imaging is to photography, what photography was to painting, a revolution.
VTT’s global leading edge in this field is based on its IPR portfolio and key skills in design, silicon microfabrication technology (MEMS), characterisation and optical integration, not to mention AI, machine learning or self-learning. Our customers license our technology on a non-exclusive basis, and build their differentiation with device integration, expertise in the value of the data and their own software algorithms.
Together with our customers and partners, we build solutions for industrial processes, natural resource management, agriculture, environmental monitoring, medicine, population safety, space exploration and Earth observation or any other field of human activity.
Our customers and research partners have used hyperspectral remote sensing for mapping tree species and their health in forests or measure biomass in fields to generate accurate fertilization maps (less fertilizer needed). Revenio uses our technology and has developed a skin cancer camera able to diagnose a significant skin surface area in a few seconds. We also use our cameras to directly image pollution like sulphur dioxide. We have built hyperspectral microscopes allowing to differentiate biological tissues or materials. The list is not exhaustive.
Whatever is your field of application or business, we are confident that hyperspectral imaging can bring new opportunities to it. Just call us or drop by our offices.
With the mass manufacturing of our FPIs, their cost will eventually be very low. Besides the optics, the other part of the camera is the image sensor. They are very affordable in the visible and near-infrared, even soon in the SWIR (Short-Wave Infrared). Eventually such cameras will weigh a few grams, consume very low-power (already now) and will be very affordable.
The hyperspectral imaging market is expected to grow significantly, with a lot of room for innovation at every level of the value chain. In that chain, software and AI will take a huge share and role, enabling an infinite number of applications and businesses, with a single hyperspectral camera, maybe in your mobile phone.
See our brochures:
VTT developing instrumentation for ESA’s ambitious mission to a comet:
VTT is developing instrumentation for asteroid research:
Links to scientific publications
- European component of the AIDA mission to a binary asteroid: Characterization and interpretation of the impact of the DART mission
- Cubic-inch MOEMS spectral imager
- Novel miniaturized hyperspectral sensor for UAV and space applications
- Hand-held MEMS hyperspectral imager for VNIR mobile applications
- Delineation of malignant skin tumors by hyperspectral imaging using diffusion maps dimensionality reduction
- Unmanned Aerial Vehicle (UAV) operated spectral camera system for forest and agriculture applications
- Diurnal Changes in Leaf Photochemical Reflectance Index in Two Evergreen Forest Canopies
- Early Diagnosis of Vegetation Health From High-Resolution Hyperspectral and Thermal Imagery: Lessons Learned From Empirical Relationships and Radiative Transfer Modelling
- Utility of hyperspectral compared to multispectral remote sensing data in estimating forest biomass and structure variables in Finnish boreal forest
- Sensitivity of common vegetation indices to the canopy structure of field crops
- Spectral similarity and PRI variations for a boreal forest stand using multi-angular airborne imagery