Paper
21 October 2015 CRIM-TRACK: sensor system for detection of criminal chemical substances
Jens K. Munk, Ole T. Buus, Jan Larsen, Eleftheria Dossi, Sol Tatlow, Lina Lässig, Lars Sandström, Mogens H. Jakobsen
Author Affiliations +
Abstract
Detection 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.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jens K. Munk, Ole T. Buus, Jan Larsen, Eleftheria Dossi, Sol Tatlow, Lina Lässig, Lars Sandström, and Mogens H. Jakobsen "CRIM-TRACK: sensor system for detection of criminal chemical substances", Proc. SPIE 9652, Optics and Photonics for Counterterrorism, Crime Fighting, and Defence XI; and Optical Materials and Biomaterials in Security and Defence Systems Technology XII, 965208 (21 October 2015); https://doi.org/10.1117/12.2194915
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Cited by 1 scholarly publication.
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KEYWORDS
Sensors

Prototyping

Explosives

Machine learning

Defense and security

RGB color model

Hydrogen

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