Explosive detection: Difference between revisions

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Specially designed [[X-ray machine]]s can detect explosives by looking at the density of the items being examined. They use [[Computed axial tomography]] based systems that are enhanced with dedicated software, containing an explosives threat library and false-color coding, to assist operators with their dedicated threat resolution protocols.{{Citation needed|date=July 2008}} X-ray detection is also used to detect related components such as [[detonator]]s, but this can be foiled if such devices are hidden inside other electronic equipment.<ref>{{cite web|url= https://www.newscientist.com/channel/tech/weapons/dn9715|title=Analysis: Explosive detection technologies| first =Will | last = Knight|date=10 August 2006 |publisher= New Scientist news service}}</ref>
 
Recently, [[machine learning]] algorithms have been developed that can automatically detect threat in x-ray scans. <ref>{{Cite journal|last=Heitz|first=Geremy|last2=Chechik|first2=Gal|date=2010-06|title=Object separation in x-ray image sets|url=http://dx.doi.org/10.1109/cvpr.2010.5539887|date=2010|journal=IEEE Computer Society Conference on Computer Vision and Pattern Recognition|publisher=IEEE|doi=10.1109/cvpr.2010.5539887|isbn=978-1-4244-6984-0}}</ref><ref>{{Citation|last=Mery|first=Domingo|title=Simulation in X-ray Testing|date=2015|url=http://dx.doi.org/10.1007/978-3-319-20747-6_7|work=Computer Vision for X-Ray Testing|pages=241–266|place=Cham|publisher=Springer International Publishing|isbn=978-3-319-20746-9|access-date=2020-08-18}}</ref><ref>{{Cite journal|last=Akcay|first=Samet|last2=Breckon|first2=Toby P.|date=2017-09|title=An evaluation of region based object detection strategies within X-ray baggage security imagery|url=http://dx.doi.org/10.1109/icip.2017.8296499|journal= IEEE International Conference on Image Processing (ICIP)|publisher=IEEE|date=2017|doi=10.1109/icip.2017.8296499|isbn=978-1-5090-2175-8}}</ref>
 
===Neutron activation===