Explosive detection: Difference between revisions

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===X-ray machines===
Specially designed [[X-ray machine]]s using [[computed axial tomography]] can detect explosives by looking at the density of the items being examined.. They use [[computed axial tomography]] basedThese systems that are enhancedfurnished with dedicated software, containing an explosives threat library and false-color coding, to assist operators with their dedicated threat resolution protocols.<ref>{{CitationCite journal |last=Wells |first=K. |last2=Bradley |first2=D.A. needed|date=July2012 2008|title=A review of X-ray explosives detection techniques for checked baggage |url=http://dx.doi.org/10.1016/j.apradiso.2012.01.011 |journal=Applied Radiation and Isotopes |volume=70 |issue=8 |pages=1729–1746 |doi=10.1016/j.apradiso.2012.01.011 |issn=0969-8043}}</ref> 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 magazine |url= https://www.newscientist.com/channel/tech/weapons/dn9715|title=Analysis: Explosive detection technologies| first =Will | last = Knight|date=10 August 2006 |magazine=[[New Scientist]] news service |archive-url=https://web.archive.org/web/20220920215223/https://www.newscientist.com/article/dn9715-analysis-explosive-detection-technologies/ |archive-date=20 September 2022}}</ref>
 
Recently, [[machine learning]] algorithms have been developed that can automatically detect threats in x-ray scans. <ref>{{Cite journal|last1=Heitz|first1=Geremy|last2=Chechik|first2=Gal|title=Object separation in x-ray image sets|date=2010|journal=IEEE Computer Society Conference on Computer Vision and Pattern Recognition|pages=2093–2100|publisher=[[IEEE]] |doi=10.1109/cvpr.2010.5539887|isbn=978-1-4244-6984-0|s2cid=2643208}}</ref><ref>{{Citation|last=Mery|first=Domingo|title=Simulation in X-ray Testing|date=2015|work=Computer Vision for X-Ray Testing|pages=241–266|place=Cham|publisher=[[Springer International Publishing]] |doi=10.1007/978-3-319-20747-6_7|isbn=978-3-319-20746-9}}</ref><ref>{{Cite journal|last1=Akcay|first1=Samet|last2=Breckon|first2=Toby P.|title=An evaluation of region-based object detection strategies within X-ray baggage security imagery|journal= IEEE International Conference on Image Processing (ICIP)|publisher=[[IEEE]]|date=2017|pages=1337–1341|doi=10.1109/icip.2017.8296499|isbn=978-1-5090-2175-8|s2cid=3451234}}</ref>