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Analysis of Artificial Intelligence Lie Detector Developed For Airport Security

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F23%3A63552098" target="_blank" >RIV/70883521:28140/23:63552098 - isvavai.cz</a>

  • Result on the web

    <a href="http://trilobit.fai.utb.cz/Data/Articles/PDF/e40545c3-9a34-48a8-9fb8-20466bb3ba83.pdf" target="_blank" >http://trilobit.fai.utb.cz/Data/Articles/PDF/e40545c3-9a34-48a8-9fb8-20466bb3ba83.pdf</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Analysis of Artificial Intelligence Lie Detector Developed For Airport Security

  • Original language description

    Airport security is a very topical issue nowadays. Airports are characterized by a high concentration of people and increasing security demands especially related to the threat of terrorist attacks. That is why they have long been at the forefront of investments in modern technologies such as body scanners or biometric gateways. In order to ensure the highest possible safety for its passengers, the aviation industry constantly adopts new modern technologies that are able to detect crime. The Intelligent Portable Border Control System based on lie detection represents such a method. Its principles of operation, system vulnerabilities, and possibilities of its implementation at airports are discussed in this article.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>ost</sub> - Miscellaneous article in a specialist periodical

  • CEP classification

  • OECD FORD branch

    20205 - Automation and control systems

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2023

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Trilobit

  • ISSN

    1804-1795

  • e-ISSN

    1804-1795

  • Volume of the periodical

    2021

  • Issue of the periodical within the volume

    1

  • Country of publishing house

    CZ - CZECH REPUBLIC

  • Number of pages

    6

  • Pages from-to

    1-6

  • UT code for WoS article

  • EID of the result in the Scopus database