Selection of the Best Face Recognition System for Check in and Boarding Services
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Date
2022
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Springer
Open Access Color
Green Open Access
No
OpenAIRE Downloads
OpenAIRE Views
Publicly Funded
No
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. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
Description
ORCID
Keywords
Intelligent check-in, Face recognition, Intelligent boarding, Fuzzy z-ahp, Fuzzy z-grey relational analysis
Fields of Science
Citation
Kuchta, D., Sergi, D., & Ucal Sari, I. (2021). Selection of the Best Face Recognition System for Check in and Boarding Services. Intelligent and Fuzzy Techniques in Aviation 4.0, 361–384. https://doi.org/10.1007/978-3-030-75067-1_16
WoS Q
Scopus Q
Q3

OpenCitations Citation Count
2
Source
Volume
372
Issue
Start Page
361
End Page
384
PlumX Metrics
Citations
Scopus : 3
Captures
Mendeley Readers : 7
SCOPUS™ Citations
3
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Page Views
280
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Downloads
35
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