Selection of the Best Face Recognition System for Check in and Boarding Services

Dorota Kuchta; Duygu Sergi; Irem Ucal Sari

doi:10.1007/978-3-030-75067-1_16

Selection of the Best Face Recognition System for Check in and Boarding Services

Dorota Kuchta^*
, Duygu Sergi
, Irem Ucal Sari

^*Bu çalışma için yazışmadan sorumlu yazar

Endüstri Mühendisliği Bölümü

Wrocław University of Science and Technology
MEF University

Araştırma çıktısı: Kitap/Rapor/Konferans Bildirisinde Bölüm › Bölüm › Hakem

4 Atıf (Scopus)

Özet

Check-in and boarding services are one of the most human oriented pre-flight services in aviation industry. The process of using face recognition systems increase with the aviation 4.0 concept, decreases need for manpower and increases the efficiency of the processes. Therefore, problems, developments and challenges of face recognition in terms of aviation 4.0 are discussed in this chapter to determine the best face recognition system for check in and boarding systems. Analytic hierarchy process and grey relational analysis are used to analyze current system providers. To handle the ambiguity in the linguistic evaluations, fuzzy Z- numbers are used. 10 face recognition system providers are evaluated according to five criteria with the proposed methodology and the results are discussed.

Orijinal dil	İngilizce
Ana bilgisayar yayını başlığı	Studies in Systems, Decision and Control
Yayınlayan	Springer Science and Business Media Deutschland GmbH
Sayfalar	361-384
Sayfa sayısı	24
DOI'lar	https://doi.org/10.1007/978-3-030-75067-1_16
Yayın durumu	Yayınlandı - 2022

Yayın serisi

Adı	Studies in Systems, Decision and Control
Hacim	372
ISSN (Basılı)	2198-4182
ISSN (Elektronik)	2198-4190

Bibliyografik not

Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Belgeye Erişim

10.1007/978-3-030-75067-1_16

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

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title = "Selection of the Best Face Recognition System for Check in and Boarding Services",

abstract = "Check-in and boarding services are one of the most human oriented pre-flight services in aviation industry. The process of using face recognition systems increase with the aviation 4.0 concept, decreases need for manpower and increases the efficiency of the processes. Therefore, problems, developments and challenges of face recognition in terms of aviation 4.0 are discussed in this chapter to determine the best face recognition system for check in and boarding systems. Analytic hierarchy process and grey relational analysis are used to analyze current system providers. To handle the ambiguity in the linguistic evaluations, fuzzy Z- numbers are used. 10 face recognition system providers are evaluated according to five criteria with the proposed methodology and the results are discussed.",

keywords = "Face recognition, Fuzzy Z-AHP, Fuzzy Z-grey relational analysis, Intelligent boarding, Intelligent check-in",

author = "Dorota Kuchta and Duygu Sergi and \{Ucal Sari\}, Irem",

note = "Publisher Copyright: {\textcopyright} 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.",

year = "2022",

doi = "10.1007/978-3-030-75067-1\_16",

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}

Selection of the Best Face Recognition System for Check in and Boarding Services. / Kuchta, Dorota; Sergi, Duygu; Ucal Sari, Irem.
Studies in Systems, Decision and Control. Springer Science and Business Media Deutschland GmbH, 2022. p. 361-384 (Studies in Systems, Decision and Control; Hac. 372).

Araştırma çıktısı: Kitap/Rapor/Konferans Bildirisinde Bölüm › Bölüm › Hakem

TY - CHAP

T1 - Selection of the Best Face Recognition System for Check in and Boarding Services

AU - Kuchta, Dorota

AU - Sergi, Duygu

AU - Ucal Sari, Irem

PY - 2022

Y1 - 2022

N2 - Check-in and boarding services are one of the most human oriented pre-flight services in aviation industry. The process of using face recognition systems increase with the aviation 4.0 concept, decreases need for manpower and increases the efficiency of the processes. Therefore, problems, developments and challenges of face recognition in terms of aviation 4.0 are discussed in this chapter to determine the best face recognition system for check in and boarding systems. Analytic hierarchy process and grey relational analysis are used to analyze current system providers. To handle the ambiguity in the linguistic evaluations, fuzzy Z- numbers are used. 10 face recognition system providers are evaluated according to five criteria with the proposed methodology and the results are discussed.

AB - Check-in and boarding services are one of the most human oriented pre-flight services in aviation industry. The process of using face recognition systems increase with the aviation 4.0 concept, decreases need for manpower and increases the efficiency of the processes. Therefore, problems, developments and challenges of face recognition in terms of aviation 4.0 are discussed in this chapter to determine the best face recognition system for check in and boarding systems. Analytic hierarchy process and grey relational analysis are used to analyze current system providers. To handle the ambiguity in the linguistic evaluations, fuzzy Z- numbers are used. 10 face recognition system providers are evaluated according to five criteria with the proposed methodology and the results are discussed.

KW - Face recognition

KW - Fuzzy Z-AHP

KW - Fuzzy Z-grey relational analysis

KW - Intelligent boarding

KW - Intelligent check-in

UR - https://www.scopus.com/pages/publications/85114891441

U2 - 10.1007/978-3-030-75067-1_16

DO - 10.1007/978-3-030-75067-1_16

M3 - Chapter

AN - SCOPUS:85114891441

T3 - Studies in Systems, Decision and Control

SP - 361

EP - 384

BT - Studies in Systems, Decision and Control

PB - Springer Science and Business Media Deutschland GmbH

ER -

Selection of the Best Face Recognition System for Check in and Boarding Services

Özet

Yayın serisi

Bibliyografik not

Belgeye Erişim

Diğer Dosyalar ve Linkler

Parmak izi

Alıntı Yap