Illicit material detector based on gas sensors and neural networks

Vincent Grimaldi; Jean-Luc Politano

doi:10.1117/12.266762

17 February 1997 Illicit material detector based on gas sensors and neural networks

Vincent Grimaldi, Jean-Luc Politano

Proceedings Volume 2937, Chemistry- and Biology-Based Technologies for Contraband Detection; (1997) https://doi.org/10.1117/12.266762
Event: Enabling Technologies for Law Enforcement and Security, 1996, Boston, MA, United States

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.

Citation Download Citation

Vincent Grimaldi and Jean-Luc Politano "Illicit material detector based on gas sensors and neural networks", Proc. SPIE 2937, Chemistry- and Biology-Based Technologies for Contraband Detection, (17 February 1997); https://doi.org/10.1117/12.266762

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