| Autor: |
Lucas Zbur, Jihang Wang, Evan Krieger, Patrick J. Treado, Oksana Klueva, Rick Beideman, Maria Conner, Joanne Gilligan, Erica Maney, Jeffrey Beckstead |
| Rok vydání: |
2020 |
| Předmět: |
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| Zdroj: |
Algorithms, Technologies, and Applications for Multispectral and Hyperspectral Imagery XXVI. |
| DOI: |
10.1117/12.2556903 |
| Popis: |
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. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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