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Proceedings Paper

Illicit material detector based on gas sensors and neural networks
Author(s): Vincent Grimaldi; Jean-Luc Politano
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Paper Abstract

In accordance with its missions, le Centre de Recherches et d'Etudes de la Logistique de la Police Nationale francaise (CREL) has been conducting research for the past few years targeted at detecting drugs and explosives. We have focused our approach of the underlying physical and chemical detection principles on solid state gas sensors, in the hope of developing a hand-held drugs and explosives detector. The CREL and Laboratory and Scientific Services Directorate are research partners for this project. Using generic hydrocarbon, industrially available, metal oxide sensors as illicit material detectors, requires usage precautions. Indeed, neither the product's concentrations, nor even the products themselves, belong to the intended usage specifications. Therefore, the CREL is currently investigating two major research topics: controlling the sensor's environment: with environmental control we improve the detection of small product concentration; determining detection thresholds: both drugs and explosives disseminate low gas concentration. We are attempting to quantify the minimal concentration which triggers detection. In the long run, we foresee a computer-based tool likely to detect a target gas in a noisy atmosphere. A neural network is the suitable tool for interpreting the response of heterogeneous sensor matrix. This information processing structure, alongside with proper sensor environment control, will lessen the repercussions of common MOS sensor sensitivity characteristic dispersion.

Paper Details

Date Published: 17 February 1997
PDF: 10 pages
Proc. SPIE 2937, Chemistry- and Biology-Based Technologies for Contraband Detection, (17 February 1997); doi: 10.1117/12.266762
Show Author Affiliations
Vincent Grimaldi, Ctr. de Recherches et d'Etudes de la Logistique de la Police Nationale francaise (France)
Jean-Luc Politano, Ctr. de Recherches et d'Etudes de la Logistique de la Police Nationale francaise (France)


Published in SPIE Proceedings Vol. 2937:
Chemistry- and Biology-Based Technologies for Contraband Detection
Pierre Pilon; Steve Burmeister, Editor(s)

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