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Application and Advances in Radiographic and Novel Technologies Used for Non-Intrusive Object Inspection
Turiba Univ, Informat Technol Dept, Graudu St 68, LV-1058 Riga, Latvia.;Kremenchuk Mykhailo Ostrohradskyi Natl Univ, Comp Engn & Elect Dept, Pershotravneva 20, UA-39600 Kremenchuk, Ukraine..
Riga Tech Univ, Inst Informat Technol, Kalku St 1, LV-1658 Riga, Latvia..
Univ Politecn Madrid, Sch Aerosp Engn, Madrid 28040, Spain..ORCID iD: 0000-0003-3605-7351
KTH, School of Engineering Sciences (SCI), Engineering Mechanics, Fluid Mechanics and Engineering Acoustics. KTH, School of Engineering Sciences (SCI), Centres, Linné Flow Center, FLOW.ORCID iD: 0000-0001-6570-5499
2022 (English)In: Sensors, E-ISSN 1424-8220, Vol. 22, no 6, article id 2121Article in journal (Refereed) Published
Abstract [en]

Increase in trading and travelling flows has resulted in the need for non-intrusive object inspection and identification methods. Traditional techniques proved to be effective for decades; however, with the latest advances in technology, the intruder can implement more sophisticated methods to bypass inspection points control techniques. The present study provides an overview of the existing and developing techniques for non-intrusive inspection control, current research trends, and future challenges in the field. Both traditional and developing methods, techniques, and technologies were analyzed with the use of traditional and novel sensor types. Finally, it was concluded that the improvement of non-intrusive inspection experience could be gained with the additional use of novel types of sensors (such as biosensors) combined with traditional techniques (X-ray inspection).

Place, publisher, year, edition, pages
MDPI AG , 2022. Vol. 22, no 6, article id 2121
Keywords [en]
X-ray, biosensor, artificial intelligence, classification, non-intrusive inspection
National Category
Atom and Molecular Physics and Optics
Identifiers
URN: urn:nbn:se:kth:diva-310777DOI: 10.3390/s22062121ISI: 000774292800001PubMedID: 35336290Scopus ID: 2-s2.0-85125935731OAI: oai:DiVA.org:kth-310777DiVA, id: diva2:1651143
Note

QC 20220411

Available from: 2022-04-11 Created: 2022-04-11 Last updated: 2022-06-25Bibliographically approved

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Vinuesa, Ricardo

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