CRIM-TRACK: Sensor System for Detection of Criminal Chemical Substances

Jens Kristian Munk, Ole Thomsen Buus, Jan Larsen, Eleftheria Dossi, Sol Tatlow, Lina Lässig, Lars Sandström, Mogens Havsteen Jakobsen

AbstractDetection of illegal compounds requires a reliable, selective and sensitive detection device. The successful device features automated target acquisition, identification and signal processing. It is portable, fast, user friendly, sensitive,
specific, and cost efficient. LEAs are in need of such technology. CRIM-TRACK is developing a sensing device based on these requirements. We engage highly skilled specialists from research institutions, industry, SMEs and LEAs and rely on a team of end users to benefit maximally from our prototypes. Currently we can detect minute quantities of drugs, explosives and precursors thereof in laboratory settings. Using colorimetric technology we have developed prototypes that employ disposable sensing chips. Ease of operation and intuitive sensor response are highly prioritized features that we implement as we gather data to feed into machine learning. With machine learning our ability to detect threat compounds amidst harmless substances improves. Different end users prefer their equipment optimized for their specific field. In an explosives-detecting scenario, the end user may prefer false positives over false negatives, while the opposite may be true in a drug-detecting scenario. Such decisions will be programmed to match user preference. Sensor output can be as detailed as the sensor allows. The user can be informed of the statistics behind the detection, identities of all detected substances, and quantities thereof. The response can also be simplified to “yes” vs. “no”. The technology under development in CRIM-TRACK will provide custom officers, police and other authorities with an effective tool to control trafficking of illegal drugs and drug precursors.
KeywordsTrace vapor sensing, drugs, explosives, precursors, colorimetry, optics, disposable chip, user friendly
TypeConference paper [Without referee]
ConferenceProceedings of SPIE Security + Defense, September 21-24, Toulouse, France
Year2015    Month September    Vol. 9652
PublisherSPIE
NoteSession: Detection and Identification of Things Dangerous, Hidden and Suspicious II
Publication linkhttp://www.spie.org/sd
BibTeX data [bibtex]
IMM Group(s)Intelligent Signal Processing


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