Analysis of the state of the art on non-intrusive object-screening techniques

• Autorzy: Mamchur Dmytro , Peksa Janis , Le Clainche Soledad , Vinuesa Ricardo

Identyfikatory

DOI

10.15199/48.2022.02.39

Warianty tytułu

PL

Prezentacja state of the art w technice nieinwazyjnej inspekcji obiektu

• Języki publikacji: EN

Abstrakty

EN

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.

PL

Artykuł poświecony jest analizie nowoczesnych metod i technik stosowanych w nieinwazyjnej detekcji obiektu. Omówione zostały obecnie używane metody detekcji, a następnie wskazano na możliwości poprawy efektywności i wiarygodności tych metod poprzez wprowadzenie automatyzacji procesów automatyzacji. W końcu pokazano schemat systemu automatycznej inspekcji, w którym wykorzystano dodatkowe czujniki oraz elementy sztucznej inteligencji, pozwalające na rozróżnianie legalnych i nielegalnych rzeczy w obiekcie poddanemu inspekcji.

Słowa kluczowe

EN

X-ray machine; odour analysis; spectroscopy; artificial intelligence; deep learning; image recognition

PL

aparat rentgenowski; analiza zapachu; uczenie głębokie; rozpoznawanie obrazów

• Wydawca: Wydawnictwo SIGMA-NOT
• Czasopismo: Przegląd Elektrotechniczny
• Rocznik: 2022
• Tom: R. 98, nr 2
• Strony: 168--173
• Opis fizyczny: Bibliogr. 41 poz., rys., tab.

Twórcy

autor

Mamchur Dmytro

• Turiba University, Graudu Street 68, LV-1058 Riga
• Latvia, Kremenchuk Mykhailo Ostrohradskyi National University, Pershotravneva 20, 39600, Kremenchuk, Ukraine

• https://orcid.org/0000-0002-2851-878X

autor

Peksa Janis

• Institute of Information Technology, Riga Technical University, Kalku Street 1, LV-1658 Riga, Latvia

• https://orcid.org/0000-0003-4125-494X

autor

Le Clainche Soledad

• School of Aerospace Engineering, Universidad Politécnica de Madrid, 28040 Madrid, Spain

• https://orcid.org/0000-0003-3605-7351

autor

Vinuesa Ricardo

• FLOW, Engineering Mechanics, KTH Royal Institute of Technology, SE-100 44, Stockholm, Sweden

• https://orcid.org/rvinuesa%40mech.kth.se

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