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Advanced Intelligent Raman System for detection of explosives and harmful substances at urban soft targets

Total Cost €


EC-Contrib. €






 AIRS project word cloud

Explore the words cloud of the AIRS project. It provides you a very rough idea of what is the project "AIRS" about.

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Project "AIRS" data sheet

The following table provides information about the project.


Organization address
address: 56 BARHAM ROAD
postcode: BR7 6HX
website: n.a.

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country United Kingdom [UK]
 Project website
 Total cost 71˙429 €
 EC max contribution 50˙000 € (70%)
 Programme 1. H2020-EU.3.7. (Secure societies - Protecting freedom and security of Europe and its citizens)
2. H2020-EU.2.3.1. (Mainstreaming SME support, especially through a dedicated instrument)
 Code Call H2020-SMEINST-1-2015
 Funding Scheme SME-1
 Starting year 2015
 Duration (year-month-day) from 2015-09-01   to  2016-02-29


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    IS-INSTRUMENTS LIMITED UK (CHISLEHURST) coordinator 50˙000.00


 Project objective

Chemical analysis of unknown samples is a vital measurement in a variety of sectors, from protein characterisation, identifying illicit and counterfeit drugs (est. €3bn cost to the industry), pharmaceutical quality control through to security applications (e.g. detection of explosives). There is a major security requirement is for a new reliable detection method of explosives, especially at soft targets. The ideal solution is a robust in-situ method for rapid non-invasive detection of hazardous materials, including explosives, that is portable and can be located at borders, ports and other sensitive targets around Europe. The most powerful and promising method being adopted for in-situ observations of suspicious substances to detect explosive is Raman spectroscopy. All molecules provide a unique Raman signature making the method very flexible and effective. However, Raman observations thus far have proven unreliable in the field, due to the very weak signal strength, background fluorescence masking this signal and complicated spectral returns that are difficult to interpret in the field. In this project ISI will seek to develop an Advanced Intelligent Raman system (AIRS) that builds on the strengths of the Raman observational approach, and dramatically reduces it current limitations of existing instrumentation. AIRS will achieve this by combining three technology development to produce a new portable easy to use chemical identification instrument. Specifically the instrument will use a Time resolved measurement technique using advanced detector technologies to remove the fluorescence and improve the signal to noise of observations. Machine learning analysis tools to interpret instrument returns in the field quickly and efficiently allowing for multiple species to be identified. This will be combined with a new class of static Fourier transform spectrometer to increase the light capture and hence the sensitivity of the instrument.

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The information about "AIRS" are provided by the European Opendata Portal: CORDIS opendata.

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