Logo Hyperia
A new and innovative imaging camera to see the invisible thanks to a grant from the European Innovation Council.

A NIREOS Project

our goal

Hyperia is a NIREOS project. The goal is to develop an innovative camera capable of measuring not just the colour of objects around us, but their entire light spectrum for each pixel of the two-dimensional field of view.

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Light Spectrum


A breakthrough innovation

Hyperspectral imaging (HSI) cameras are typically limited by their bulk size, high cost, poor sensitivity and limited spectral coverage, covering either the visible or the near-infrared portion of the spectrum.

The breakthrough innovation in HYPERIA is constituted by NIREOS’ core and proprietary technology: time-domain Fourier-transform spectroscopy, a radically different paradigm with respect to competitors. This will enable the development of a HSI system with a hitherto inaccessible level of sensitivity even in low-light illumination conditions, covering a dramatically wider wavelength range from the visible to the short-wavelength infrared (SWIR).

Key Aspects

A novel camera that sees the invisible


VIS-SWIR spectrum range (400-1700nm) to capture both visible and non-visible features.


Wide range of applications such as: food testing, fine art restoration, plastic sorting, remote sensing, material science and microbiology.


One device only: no need to use multiple costly devices since HYPERIA covers both VIS and SWIR  spectrum in a single device.


HYPERIA provides a comprehensive hyperspectral data in a single device, saving time-consuming integration to merge data.

Technical Specifications

prototype performance
Parameters HYPERIA Performance
Spectral range 400-1700nm
Spectral resolution <0.5nm @420nm <10nm @1700nm
Horizontal Angular Field Of View
Vertical Angular Field Of View
Instantaneous FOV 5.7mdeg
Spatial Resolution 1280 (H) × 1024 (V)
Pixel Pitch 5μm
Pixel Size 5μm x 5μm
Parameters HYPERIA Performance
Sensor Bits 12
Sensor Dark Noise 250 eˉ
Sensor Dynamic Range 56.4 dB
Sensor Full Well 165000 eˉ
Maximum Integration Time 100ms
N averages Up to 100
Minimum Measurement Time 10s
Integration Time 1us to 1s
RoHS and REACH Yes

HYPERIA for leafy vegetable freshness assessment

HYPERIA has proven its excellence in assessing leafy freshness, particularly in lettuce and basil. Through rigorous validation tests, it demonstrated high performance in capturing hyperspectral images under varying storage conditions. The device’s superior resolution, signal-to-noice ratio, and sensitivity enable precise identification of chlorophyll and water concentrations at different wavelengths such as 970, 1200 and 1450 nm.

Events and conferences

“We are proud to see our technology recognised by the EU as a potentially disruptive innovation, enabling future users to capture spectral signatures that can be used as unique fingerprints for stand-off and non-destructive physio-chemical analysis of materials and for detecting fluorescence signals from non-visible features. The HYPERIA camera will have a wide range of possible applications, such as monitoring of food freshness and composition, plastic waste separation, analysis of fine arts, remote sensing and inspection of building materials.”
Foto in primo piano di Fabrizio Preda CEO di Nireos
Fabrizio Preda
CEO and coordinator of HYPERIA project

Hyperia Updates

Here you can find all updates regarding our project

Contact us

If you have any questions about the Hyperia project, please send us an email to hyperia_project@nireos.com

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HYPERIA is one of the 42 projects selected for funding from 292 submitted in the EIC Transition call, aimed at transforming research results into innovation opportunities. The EIC is the European flagship programme to identify, develop and scale up breakthrough technologies and game-changing innovations.

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Funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union. Neither the European Union nor the granting authority can be held responsible for them.

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