Paper
24 April 2020 Sprayed or soaked concealed drug detection using SWIR hyperspectral imaging
Jihang Wang, Evan Krieger, Lucas Zbur, Joanne Gilligan, Rick Beideman, Jeffrey Beckstead, Oksana Klueva, Maria Conner, Erica Maney, Patrick Treado
Author Affiliations +
Abstract
The smuggling of drug into correctional facilities through the mail is a major concern. ChemImage has developed the VeroVisionTM mail screener system, which highlights drugs from background based on score imagery computed from selected wavelengths based on the chemical signatures. More recently, sophisticated techniques to hide drugs by dissolution into paper are being used. We introduce a combined heterogeneous anomaly detection with a deep learning classifier. Anomaly detection initially extracts suspect stain patterns. A You Only Look Once (YOLO) based classifier then classifies anomalies as drug or non-drug stain patterns. We report its first successful detection on a limited set of meth samples, with 87.4% probability of detection (PD) and 7.0% probability of false alarm (PFA). The results show that widefield, multispectral short-field infrared (SWIR) imaging can allow for dissolved concealed drug screening of mail which has benefits for mail inspection efficiency and accuracy.
© (2020) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jihang Wang, Evan Krieger, Lucas Zbur, Joanne Gilligan, Rick Beideman, Jeffrey Beckstead, Oksana Klueva, Maria Conner, Erica Maney, and Patrick Treado "Sprayed or soaked concealed drug detection using SWIR hyperspectral imaging", Proc. SPIE 11392, Algorithms, Technologies, and Applications for Multispectral and Hyperspectral Imagery XXVI, 113920O (24 April 2020); https://doi.org/10.1117/12.2556903
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CITATIONS
Cited by 3 patents.
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KEYWORDS
Short wave infrared radiation

Image processing

Hyperspectral imaging

Convolutional neural networks

Image classification

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