HYPERIAS
Hyper-Spectral Imaging and Sensing in the THz Frequency Range
| Coordinatore | M-SQUARED LASERS LIMITED
Organization address
address: "PRINCES STREET 125, 5TH FLOOR" contact info |
| Nazionalità Coordinatore | United Kingdom [UK] |
| Totale costo | 1˙522˙305 € |
| EC contributo | 1˙522˙305 € |
| Programma | FP7-PEOPLE
Specific programme "People" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013) |
| Code Call | FP7-PEOPLE-2012-IAPP |
| Funding Scheme | MC-IAPP |
| Anno di inizio | 2013 |
| Periodo (anno-mese-giorno) | 2013-03-01 - 2017-02-28 |
Partecipanti
| # | ||||
|---|---|---|---|---|
| 1 |
M-SQUARED LASERS LIMITED
Organization address
address: "PRINCES STREET 125, 5TH FLOOR" contact info |
UK (EDINBURGH) | coordinator | 866˙507.40 |
| 2 |
JOHANN WOLFGANG GOETHE UNIVERSITAET FRANKFURT AM MAIN
Organization address
address: GRUNEBURGPLATZ 1 contact info |
DE (FRANKFURT AM MAIN) | participant | 352˙218.34 |
| 3 |
UNIVERSITAET SIEGEN
Organization address
address: HERRENGARTEN 3 contact info |
DE (SIEGEN) | participant | 303˙579.66 |
Mappa
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Obiettivo del progetto (Objective)
'HYPERIAN seeks to exploit the advantages of combining efficient THz generation from tuneable sources with direct detection using silicon CMOS technology to construct a THz system for hyper-spectral imaging and identification of materials, including explosives in near-field and stand-off modes. Hyper-spectral imaging within HYPERIAS will be supported by activities in the area of imaging algorithms suitable for the focal-plane CMOS arrays. The combination of these activities will result in self-contained systems suitable for concealed weapons and explosives detections at stand-off distances. Dedicated activities targeting a detailed analysis and evaluation of different application field, especially in the security application area, will be incorporated into the proposal, in order to guide system conception and development along the application requirements, to develop automatic hyperspectral material recognition algorithms and to integrate such into the developed hyperspectral imaging and sensing instrumentation.'