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Affordable Hyperspectral Imaging System for on-line foreign body detection and chemical composition analysis

Objective

In response to growing industry demand for rapid, non-destructive techniques for foreign body detection and identification in food products, IRIS (an advanced engineering company from Spain that specialises in the integration of real-time monitoring solutions in the industry) will accelerate the development of an affordable, rapid and accurate hyperspectral imaging (HSI) system for the on-line detection of foreign bodies and chemical composition analysis in modern food processing
plants.

The HYPERA® system is based on a novel and disruptive combination of Shortwave Infrared Hyperspectral Imaging (SWIR-HSI) in reflectance with Near Infrared Multispectral Imaging (NIR-MSI) in reflectance/transmittance and chemometric software. HYPERA offers outstanding performance for the detection of foreign bodies in foodstuffs by enabling: a) penetration (enabled by the NIR); b) composition differentiation (enabled by the SWIR); and c) resolving the image distortion caused by scattering (enabled by the chemometrics); d) compact and low-cost design (enabled by the extended infrared spectral bands to obtain more chemical information from the sample using novel detectors), e) high inspection speeds and versatility (enabled by combining a flexible hyperspectral
imager design with integrated chemometric tools). The HYPERA® system, which will be suitable for multiple application purposes and object, will equip food processors to prevent contaminated food entering the supply chain, thereby protecting the brands as well as the consumer.

Call for proposal

H2020-SMEInst-2016-2017

See other projects for this call

Sub call

H2020-SMEINST-2-2016-2017

Coordinator

IRIS TECHNOLOGY SOLUTIONS, SOCIEDAD LIMITADA
Net EU contribution
€ 1 156 225,00
Address
Carretera D Esplugues 39 41
08940 Cornella De Llobregat
Spain
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Non-EU contribution
€ 495 525,00