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.