Analysis of the State of the Art on Non-intrusive Object-Screening Techniques

Przegląd Elektrotechniczny = Electrical Review 2022
Dmytro Mamchur, Jānis Pekša, Soledad Le Clainche, Ricardo Vinuesa

The paper is devoted to an analysis of the modern methods and techniques used for non-intrusive object screening. First, currently used technology and the principle of equipment operation are described. Next, the ways for improving the reliability and efficiency of the screening process and ways for its automation are indicated. Finally, a schematic of an automated screening system that uses additional sensors and implements AI-based analysis for automatic detection and distinguishing between legal, illegal and illicit items inside the object under inspection is proposed.

Keywords
Artificial intelligence | Deep learning | Image recognition | Odour analysis | Spectroscopy | X-ray machine
DOI
10.15199/48.2022.02.39
Hyperlink
https://sigma-not.pl/publikacja-136099-2022-2.html

Mamchur, D., Pekša, J., Le Clainche, S., Vinuesa, R. Analysis of the State of the Art on Non-intrusive Object-Screening Techniques. Przegląd Elektrotechniczny = Electrical Review, 2022, No. 2, pp.168-173. ISSN 0033-2097. e-ISSN 2449-9544. Available from: doi:10.15199/48.2022.02.39

Publication language
English (en)