Performance of a high-throughput full-tunnel XRD checked baggage scanning system

David Coccarelli, Colt Dudley, Daniel Pike, Robert Greenberg, Ryan Moody, Edward Franco, Turner Richmond, Anuj J. Kapadia, Michael E. Gehm, Joel A. Greenberg

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

X-ray diffraction imaging (XRDI) offers the potential for reduced false alarm rates, increased throughputs, and more sensitive explosives detection performance in aviation security applications. The deployment of computed tomography (CT) systems across carry-on and checked baggage screening lanes has both reinforced the need for orthogonal detection technologies and created an exciting new opportunity for the implementation of XRDI. Our team at Quadridox built a novel XRDI system that, when combined with a CT system, realizes full-tunnel assessment of checked bags at a belt speed of 20 cm/s. We integrated our XRDI system with a Smiths CTX 5800 explosives detection system (EDS) and collected bag data containing both benign and threat objects. We describe the XRDI system, show examples of the resulting hybrid CT and XRD dataset, and present performance results for the hybrid system.

Original languageEnglish
Title of host publicationAnomaly Detection and Imaging with X-Rays (ADIX) VIII
EditorsAmit Ashok, Joel A. Greenberg, Michael E. Gehm
PublisherSPIE
ISBN (Electronic)9781510661769
DOIs
StatePublished - 2023
Externally publishedYes
EventAnomaly Detection and Imaging with X-Rays (ADIX) VIII 2023 - Orlando, United States
Duration: May 3 2023May 4 2023

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume12531
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

ConferenceAnomaly Detection and Imaging with X-Rays (ADIX) VIII 2023
Country/TerritoryUnited States
CityOrlando
Period05/3/2305/4/23

Funding

This work is supported by the U.S. Department of Homeland Security, Science and Technology Directorate, Explosives Division, (Contract number 70RSAT18CB0000044), “Design and Analysis of a Hybrid Transmission and X-ray Diffraction Scanner for High Throughput Explosive Detection”. The authors gratefully acknowledge the sponsor of this effort. David Coccarelli, Michael E. Gehm, Anuj J. Kapadia, and Joel A. Greenberg have a financial interest in Quadridox, Inc.

Keywords

  • X-ray diffraction
  • X-ray diffraction imaging
  • aviation security
  • false-alarm reduction
  • hybrid system
  • material characterization

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