Project description
High-sensitivity camera sees across the visible and infrared light spectrum
The EU-funded HYPERIA project plans to develop an innovative camera that can measure not just the visible colour of objects around us but their entire light spectrum for each pixel of the 2D field of view. This camera, called a hyperspectral imaging camera, will combine an extremely broad wavelength range (400-1700 nm), accessible through a single device and a single measurement, with an exceptional sensitivity at low light intensities. It will enable users to capture spectral signatures that can be used as unique fingerprints for physiochemical analysis of materials and for detecting fluorescence signals from non-visible features. Possible applications include monitoring of food freshness and composition, plastic waste separation, fine art analysis, remote sensing and building material inspection.
Objective
Building on the findings from our previous ERC PoC project, FLUO, the HYPERIA project will develop a hyperspectral imaging (HSI) camera that uses Fourier Transform (FT) interferometry to capture a detailed light spectrum across its wavelength range for each pixel in the 2D field-of-vision. This constitutes a novel detection approach that will dramatically expand the wavelength range and sensitivity at low light intensities for HSI camera. With its VIS-SWIR range (400-1700nm), the camera will be able to capture visible features, key SWIR ?fingerprints? for physiochemical analysis and fluorescence signals from non-visible features. The HYPERIA camera will have a wide range of possible applications and we will demonstrate it to TRL6 in monitoring of food freshness and composition, plastic waste separation, analysis of fine arts and remote sensing/inspection of building materials. Current HSI cameras are limited to narrow wavelength ranges, so these forms of applications require two or more costly devices and difficult and time-consuming integration of different data sources. The HYPERIA camera will accomplish the task in one device yielding a single hyperspectral datacube at a hitherto inaccessible level of sensitivity and at a lower total cost. In parallel to this, we will obtain market, competitor, and regulatory intelligence to establish our business model, price- and cost model and potential positioning within the market for our prioritised application area, food production and safety monitoring. This will place us in an advantageous position to advance the HYPERIA camera to TRL9 and market readiness after the end of the proposed project.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensorsoptical sensors
- humanitiesarts
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Programme(s)
- HORIZON.3.1 - The European Innovation Council (EIC) Main Programme
Call for proposal
(opens in new window) HORIZON-EIC-2021-TRANSITIONOPEN-01
See other projects for this callFunding Scheme
HORIZON-EIC - HORIZON EIC GrantsCoordinator
20158 Milano
Italy
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.