Integration of artificial intelligence and augmented reality for assisted detection of textile defects

The Fourth Industrial Revolution conceptualizes the rapid change of industries resulting from the convergence of technologies such as artificial intelligence, genetic editing, and advanced robotics that enable increasing interconnectivity and machines that can analyze and diagnosing problems without...

Full description

Saved in:
Bibliographic Details
Published inJournal of engineered fibers and fabrics Vol. 19
Main Authors Servi, Michaela, Magherini, Roberto, Buonamici, Francesco, Volpe, Yary, Furferi, Rocco
Format Journal Article
LanguageEnglish
Published London, England SAGE Publications 01.01.2024
SAGE Publishing
Subjects
augmented reality
Artificial intelligence
textile defect detection
machine vision
Online AccessGet full text
ISSN1558-9250
1558-9250
DOI10.1177/15589250231206502

Cover

Abstract The Fourth Industrial Revolution conceptualizes the rapid change of industries resulting from the convergence of technologies such as artificial intelligence, genetic editing, and advanced robotics that enable increasing interconnectivity and machines that can analyze and diagnosing problems without human intervention, through intelligent automation. In this scenario, the use of augmented reality technologies is of great interest. The paper aims to explore the use of augmented reality in support of traditional inspections for assisting textile experts in fabric defect detection. The contribution of this study consists of three main phases, necessary for the future development of the system: (1) the analysis of possible automatic defect detection techniques; (2) the analysis of hardware solutions for the realization of a system based on important criteria such as operator comfort, system footprint, and so on; (3) the proposal of a possible comprehensive solution. Considering these aspects this paper identifies and investigate the best scenario for the introduction of artificial intelligence and augmented reality technologies to help the operator in the detection of textile defects.
AbstractList The Fourth Industrial Revolution conceptualizes the rapid change of industries resulting from the convergence of technologies such as artificial intelligence, genetic editing, and advanced robotics that enable increasing interconnectivity and machines that can analyze and diagnosing problems without human intervention, through intelligent automation. In this scenario, the use of augmented reality technologies is of great interest. The paper aims to explore the use of augmented reality in support of traditional inspections for assisting textile experts in fabric defect detection. The contribution of this study consists of three main phases, necessary for the future development of the system: (1) the analysis of possible automatic defect detection techniques; (2) the analysis of hardware solutions for the realization of a system based on important criteria such as operator comfort, system footprint, and so on; (3) the proposal of a possible comprehensive solution. Considering these aspects this paper identifies and investigate the best scenario for the introduction of artificial intelligence and augmented reality technologies to help the operator in the detection of textile defects.
Author Furferi, Rocco
Servi, Michaela
Buonamici, Francesco
Magherini, Roberto
Volpe, Yary
Author_xml – sequence: 1
  givenname: Michaela
  orcidid: 0000-0002-4071-6615
  surname: Servi
  fullname: Servi, Michaela
  email: michaela.servi@unifi.it
  organization: Department of Industrial Engineering, University of Florence, Florence, Italy
– sequence: 2
  givenname: Roberto
  surname: Magherini
  fullname: Magherini, Roberto
  organization: Department of Industrial Engineering, University of Florence, Florence, Italy
– sequence: 3
  givenname: Francesco
  surname: Buonamici
  fullname: Buonamici, Francesco
  organization: Department of Industrial Engineering, University of Florence, Florence, Italy
– sequence: 4
  givenname: Yary
  surname: Volpe
  fullname: Volpe, Yary
  organization: Department of Industrial Engineering, University of Florence, Florence, Italy
– sequence: 5
  givenname: Rocco
  surname: Furferi
  fullname: Furferi, Rocco
  organization: Department of Industrial Engineering, University of Florence, Florence, Italy
BookMark eNp9kN1KAzEQRoNUsK0-gHf7AluTTbNJLqX4Uyh4o9dLNpksKduNJCnYtzfbqohCr2Y4w_lgvhmaDH4AhG4JXhDC-R1hTMiK4YqSCtd5XqDpyMoRTn7tV2gW4xZjJinDU2TXQ4IuqOT8UHhbqJCcddqpvnD50veug0FDoQZTqH23gwxNEUD1Lh0K60OhYnRxhAYS6O-cBB_J9ZChzTBeo0ur-gg3X3OO3h4fXlfP5eblab2635SaSppKTmQtJJeWC44N0KVoGdWWtyAkpUaYmkuQgpOa17TWla4Nryq5BIkZw5jTOVqfco1X2-Y9uJ0Kh8Yr1xyBD10zfqh7aARTWBoQ1pB2iY2RkkpDbMvaVraa1TmLnLJ08DEGsD95BDdj6c2_0rPD_zjapWO5KSjXnzUXJzOqDpqt34chF3VG-AS0oJTx
CitedBy_id crossref_primary_10_1007_s11740_024_01324_9
Cites_doi 10.1088/1742-6596/2224/1/012010
10.1007/978-3-319-99695-0_6
10.1016/j.compind.2021.103459
10.1016/j.ijpe.2018.08.019
10.1109/ACCESS.2018.2802699
10.2478/aut-2019-0035
10.1111/cote.12394
10.1006/jmps.1999.1279
10.1109/ISEMANTIC.2019.8884329
10.1049/iet-cim.2020.0062
10.3390/app10072511
10.1007/s10845-019-01476-x
10.1109/TASE.2017.2696748
10.1016/j.patcog.2004.07.009
10.1016/j.rcim.2018.10.001
10.1016/j.ijleo.2013.05.004
10.1080/00405000.2014.929790
10.1016/j.jclepro.2019.119869
10.3390/app10238434
10.1016/j.ifacol.2015.06.451
10.1109/ICPR48806.2021.9412092
10.1016/j.ijpe.2020.107776
10.1515/aut-2015-0001
10.1177/00405175211034241
10.1109/TIP.2019.2959741
ContentType Journal Article
Copyright The Author(s) 2024
Copyright_xml – notice: The Author(s) 2024
DBID AFRWT
AAYXX
CITATION
DOA
DOI 10.1177/15589250231206502
DatabaseName Sage Journals GOLD Open Access 2024
CrossRef
DOAJ Directory of Open Access Journals
DatabaseTitle CrossRef
DatabaseTitleList
CrossRef
Database_xml – sequence: 1
  dbid: DOA
  name: DOAJ Directory of Open Access Journals
  url: https://www.doaj.org/
  sourceTypes: Open Website
– sequence: 2
  dbid: AFRWT
  name: SAGE Open Access Journals
  url: http://journals.sagepub.com/
  sourceTypes: Publisher
DeliveryMethod fulltext_linktorsrc
Discipline Engineering
EISSN 1558-9250
ExternalDocumentID oai_doaj_org_article_85a09de8fd1b40dd9939d1fb5bb9bc56
10_1177_15589250231206502
10.1177_15589250231206502
GroupedDBID 0R~
29K
2WC
54M
5GY
5VS
AASGM
ABQXT
ACDXX
ACROE
ADBBV
ADEBD
ADMLS
ADOGD
AEDFJ
AENEX
AEWDL
AFCOW
AFKRG
AFRWT
AJUZI
ALMA_UNASSIGNED_HOLDINGS
ARTOV
BCNDV
BDDNI
C1A
D-I
E3Z
EBS
EJD
GROUPED_DOAJ
H13
HH5
J8X
KQ8
ML~
M~E
OK1
RNS
ROL
SAFTQ
SAUOL
SCDPB
SCNPE
SFC
TR2
TTC
AAYXX
ACHEB
CITATION
OVT
ID FETCH-LOGICAL-c393t-71968979f7870de348b53cf7be8933d8d679e987167636c2c6d72294e90550073
IEDL.DBID AFRWT
ISSN 1558-9250
IngestDate Wed Aug 27 01:34:46 EDT 2025
Thu Apr 24 23:11:56 EDT 2025
Tue Jul 01 05:16:40 EDT 2025
Tue Jun 17 22:31:13 EDT 2025
IsDoiOpenAccess true
IsOpenAccess true
IsPeerReviewed true
IsScholarly true
Keywords augmented reality
Artificial intelligence
textile defect detection
machine vision
Language English
License This article is distributed under the terms of the Creative Commons Attribution 4.0 License (https://creativecommons.org/licenses/by/4.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-c393t-71968979f7870de348b53cf7be8933d8d679e987167636c2c6d72294e90550073
ORCID 0000-0002-4071-6615
OpenAccessLink https://journals.sagepub.com/doi/full/10.1177/15589250231206502?utm_source=summon&utm_medium=discovery-provider
ParticipantIDs doaj_primary_oai_doaj_org_article_85a09de8fd1b40dd9939d1fb5bb9bc56
crossref_primary_10_1177_15589250231206502
crossref_citationtrail_10_1177_15589250231206502
sage_journals_10_1177_15589250231206502
ProviderPackageCode CITATION
AAYXX
PublicationCentury 2000
PublicationDate 2024-01-01
PublicationDateYYYYMMDD 2024-01-01
PublicationDate_xml – month: 01
  year: 2024
  text: 2024-01-01
  day: 01
PublicationDecade 2020
PublicationPlace London, England
PublicationPlace_xml – name: London, England
PublicationTitle Journal of engineered fibers and fabrics
PublicationYear 2024
Publisher SAGE Publications
SAGE Publishing
Publisher_xml – name: SAGE Publications
– name: SAGE Publishing
References Liu, Wang, Su 2019; 29
Silvestre-Blanes, Albero-Albero, Miralles 2019; 19
Wei, Hao, Tang 2019; 849
Ghobakhloo 2020; 252
Tabernik, Šela, Skvarč 2020; 31
Jing, Ma, Zhang 2019; 135
Dalenogare, Benitez, Ayala 2018; 204
Bai, Dallasega, Orzes 2020; 229
Li, Li, Li 2021; 2021
Zhao, Yin, Zhang 2020; 2
Raheja, Kumar, Chaudhary 2013; 124
Blanco-Novoa, Fernandez-Carames, Fraga-Lamas 2018; 6
Browne 2000; 44
Zhu, Pan, Gao 2015; 15
Li, Zhang, Jing 2015; 106
Yapi, Allili, Baaziz 2018; 15
Yapi, Mejri, Allili 2015; 48
Peng, Wang, Hao 2020; 10
Božič, Tabernik, Skočaj 2021; 129
Ngan, Pang, Yung 2005; 38
Ben Salem, Abdelkrim 2020; 10
Han, Yu 2020; 10
Shahrabadi, Castilla, Guevara 2022; 2224
Gattullo, Scurati, Fiorentino 2019; 56
Dlamini, Kao, Su 2022; 92
bibr28-15589250231206502
Ben Salem Y (bibr7-15589250231206502) 2020; 10
Li C (bibr9-15589250231206502) 2021; 2021
bibr15-15589250231206502
bibr2-15589250231206502
bibr25-15589250231206502
bibr5-15589250231206502
bibr18-15589250231206502
bibr30-15589250231206502
bibr33-15589250231206502
bibr20-15589250231206502
bibr23-15589250231206502
bibr4-15589250231206502
bibr10-15589250231206502
bibr1-15589250231206502
bibr14-15589250231206502
bibr27-15589250231206502
bibr24-15589250231206502
bibr17-15589250231206502
bibr21-15589250231206502
bibr31-15589250231206502
bibr34-15589250231206502
bibr11-15589250231206502
bibr3-15589250231206502
bibr29-15589250231206502
bibr19-15589250231206502
bibr6-15589250231206502
bibr16-15589250231206502
bibr13-15589250231206502
bibr26-15589250231206502
bibr32-15589250231206502
bibr8-15589250231206502
bibr22-15589250231206502
bibr12-15589250231206502
References_xml – volume: 129
  start-page: 103459
  year: 2021
  article-title: Mixed supervision for surface-defect detection: from weakly to fully supervised learning
  publication-title: Comput Ind
– volume: 204
  start-page: 383
  year: 2018
  end-page: 394
  article-title: The expected contribution of Industry 4.0 technologies for industrial performance
  publication-title: Int J Prod Econ
– volume: 38
  start-page: 559
  year: 2005
  end-page: 576
  article-title: Wavelet based methods on patterned fabric defect detection
  publication-title: Pattern Recognit
– volume: 6
  start-page: 8201
  year: 2018
  end-page: 8218
  article-title: A practical evaluation of commercial industrial augmented reality systems in an industry 4.0 Shipyard
  publication-title: IEEE Access
– volume: 15
  start-page: 1014
  year: 2018
  end-page: 1026
  article-title: Automatic fabric defect detection using learning-based local textural distributions in the contourlet domain
  publication-title: IEEE Trans. Autom. Sci. Eng
– volume: 15
  start-page: 226
  year: 2015
  end-page: 232
  article-title: Yarn-dyed fabric defect detection based on autocorrelation function and GLCM
  publication-title: Autex Res J
– volume: 252
  start-page: 119869
  year: 2020
  article-title: Industry 4.0, digitization, and opportunities for sustainability
  publication-title: J Clean Prod
– volume: 19
  start-page: 363
  issue: 4
  year: 2019
  end-page: 374
  article-title: A public fabric database for defect detection methods and results
  publication-title: Autex Res J
– volume: 229
  start-page: 107776
  year: 2020
  article-title: Industry 4.0 technologies assessment: a sustainability perspective
  publication-title: Int J Prod Econ
– volume: 92
  start-page: 675
  year: 2022
  end-page: 690
  article-title: Development of a real-time machine vision system for functional textile fabric defect detection using a deep YOLOv4 model
  publication-title: Text Res J
– volume: 10
  start-page: 8434
  year: 2020
  article-title: Automatic fabric defect detection method using PRAN-Net
  publication-title: Appl Sci
– volume: 849
  start-page: 45
  year: 2019
  end-page: 51
  article-title: Fabric defect detection based on faster RCNN
  publication-title: Adv Intell Syst comput
– volume: 48
  start-page: 2423
  year: 2015
  end-page: 2428
  article-title: A learning-based approach for automatic defect detection in textile images
  publication-title: IFAC-PapersOnLine
– volume: 10
  start-page: 4390
  year: 2020
  end-page: 4399
  article-title: Texture classification of fabric defects using machine learning
  publication-title: Int J Electr Comput Eng
– volume: 124
  start-page: 6469
  year: 2013
  end-page: 6474
  article-title: Fabric defect detection based on GLCM and Gabor filter: a comparison
  publication-title: Optik
– volume: 29
  start-page: 3388
  year: 2019
  end-page: 3400
  article-title: Multistage GAN for fabric defect detection
  publication-title: IEEE Trans Image Process
– volume: 2
  start-page: 189
  year: 2020
  end-page: 196
  article-title: Real-time fabric defect detection based on multi-scale convolutional neural network
  publication-title: IET collab Intell Manuf
– volume: 10
  start-page: 2511
  year: 2020
  article-title: Fabric defect detection system using stacked convolutional denoising auto-encoders trained with synthetic defect data
  publication-title: Appl Sci
– volume: 56
  start-page: 276
  year: 2019
  end-page: 286
  article-title: Towards augmented reality manuals for industry 4.0: a methodology
  publication-title: Robot Comput Integr Manuf
– volume: 2224
  year: 2022
  article-title: Defect detection in the textile industry using image-based machine learning methods: a brief review
  publication-title: J Phys Conf Ser
– volume: 44
  start-page: 108
  year: 2000
  end-page: 132
  article-title: Cross-validation methods
  publication-title: J Math Psychol
– volume: 2021
  start-page: 1
  year: 2021
  end-page: 13
  article-title: Fabric defect detection in textile manufacturing: a survey of the state of the art
  publication-title: Secur Commun Netw
– volume: 31
  start-page: 759
  year: 2020
  end-page: 776
  article-title: Segmentation-based deep-learning approach for surface-defect detection
  publication-title: J Intell Manuf
– volume: 106
  start-page: 587
  year: 2015
  end-page: 592
  article-title: Fabric defect detection based on multi-scale wavelet transform and Gaussian mixture model method
  publication-title: J Text Inst
– volume: 135
  start-page: 213
  year: 2019
  end-page: 223
  article-title: Automatic fabric defect detection using a deep convolutional neural network
  publication-title: Coloration Technol
– ident: bibr6-15589250231206502
  doi: 10.1088/1742-6596/2224/1/012010
– volume: 10
  start-page: 4390
  year: 2020
  ident: bibr7-15589250231206502
  publication-title: Int J Electr Comput Eng
– ident: bibr18-15589250231206502
  doi: 10.1007/978-3-319-99695-0_6
– ident: bibr27-15589250231206502
  doi: 10.1016/j.compind.2021.103459
– volume: 2021
  start-page: 1
  year: 2021
  ident: bibr9-15589250231206502
  publication-title: Secur Commun Netw
– ident: bibr2-15589250231206502
  doi: 10.1016/j.ijpe.2018.08.019
– ident: bibr4-15589250231206502
  doi: 10.1109/ACCESS.2018.2802699
– ident: bibr31-15589250231206502
– ident: bibr25-15589250231206502
  doi: 10.2478/aut-2019-0035
– ident: bibr16-15589250231206502
  doi: 10.1111/cote.12394
– ident: bibr24-15589250231206502
– ident: bibr26-15589250231206502
  doi: 10.1006/jmps.1999.1279
– ident: bibr32-15589250231206502
– ident: bibr12-15589250231206502
  doi: 10.1109/ISEMANTIC.2019.8884329
– ident: bibr21-15589250231206502
  doi: 10.1049/iet-cim.2020.0062
– ident: bibr34-15589250231206502
– ident: bibr20-15589250231206502
  doi: 10.3390/app10072511
– ident: bibr29-15589250231206502
  doi: 10.1007/s10845-019-01476-x
– ident: bibr15-15589250231206502
  doi: 10.1109/TASE.2017.2696748
– ident: bibr13-15589250231206502
  doi: 10.1016/j.patcog.2004.07.009
– ident: bibr33-15589250231206502
– ident: bibr5-15589250231206502
  doi: 10.1016/j.rcim.2018.10.001
– ident: bibr11-15589250231206502
  doi: 10.1016/j.ijleo.2013.05.004
– ident: bibr14-15589250231206502
  doi: 10.1080/00405000.2014.929790
– ident: bibr1-15589250231206502
  doi: 10.1016/j.jclepro.2019.119869
– ident: bibr30-15589250231206502
– ident: bibr17-15589250231206502
  doi: 10.3390/app10238434
– ident: bibr8-15589250231206502
  doi: 10.1016/j.ifacol.2015.06.451
– ident: bibr23-15589250231206502
  doi: 10.1109/ICPR48806.2021.9412092
– ident: bibr3-15589250231206502
  doi: 10.1016/j.ijpe.2020.107776
– ident: bibr10-15589250231206502
  doi: 10.1515/aut-2015-0001
– ident: bibr22-15589250231206502
  doi: 10.1177/00405175211034241
– ident: bibr19-15589250231206502
  doi: 10.1109/TIP.2019.2959741
– ident: bibr28-15589250231206502
SSID ssj0059350
Score 2.2961652
Snippet The Fourth Industrial Revolution conceptualizes the rapid change of industries resulting from the convergence of technologies such as artificial intelligence,...
SourceID doaj
crossref
sage
SourceType Open Website
Enrichment Source
Index Database
Publisher
SummonAdditionalLinks – databaseName: DOAJ Directory of Open Access Journals
  dbid: DOA
  link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV1NS8QwEA2yJz2In7h-kYMgCMU2SdvkqOKyCnpyYW-lySQiSFe0-_-dSbuyi6gXryVtwmRm3ks7fcPYWaDW0sEUSXB4VlU2QFKnWZ1QTxSEX5P6QD8nPzwW44m6n-bTpVZfVBPWyQN3hrvUeZ0a8DpAZlUKgHhqIAs2t9ZYl0exbcS8xWGqy8G5kfniGybJKyFoaoNgj2RGECcRKygUxfpXKrkiuIy22GbPCvlVt5pttuabHbaxpBW4y8JdL-yAhuSzwGnlnfoDf1mS1eR1A7yeP0etTeBICYlnc6SmHGky7Slw8G0swIrPocoPzAx4MRZ27LHJ6PbpZpz0TRISJ41skxJDSJvSBIo88FJpm0sXSuuRiUjQUJTGGzoWYSYpnHAFlEIY5U2KhxMM8H02aGaNP2BcSAvalmgf5VTIJKY-YaVWzmeIpDYbsnRhtMr1CuLUyOK1ynrR8G92HrKLr1veOvmM3wZf0058DSTl63gB_aHq_aH6yx-G7Jz2sepD8ePn6Q7_Y7ojti6Q5nQvZY7ZoH2f-xOkKa09jR75CXU44UU
  priority: 102
  providerName: Directory of Open Access Journals
Title Integration of artificial intelligence and augmented reality for assisted detection of textile defects
URI https://journals.sagepub.com/doi/full/10.1177/15589250231206502
https://doaj.org/article/85a09de8fd1b40dd9939d1fb5bb9bc56
Volume 19
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV1LS8QwEB50vehBfOL6IgdBEKpt0ldOouKigh5E0VtpXiK4u6Ldg__emTQVxQdeQ9Ipk8nMl2TyDcCOo9LSTuaR07hXTZUzUR0ndUQ1UTD8ytg6epx8eZWf3aYX99n9FIy7tzBBg6_7lFaFf-SdNa1uOo0-CJeMBxgES4nBG8EJJ4zBDyfNsGqPu7uqGtRC99OTIV1ta0qIfIu6523TMMMLHNiDmaPB9d1N57wzKXxRVxIQkYRwEfqj0C-hzDP-f0kH8xFqsADzAVqyo9YWFmHKjpZg7hPh4DK488AOgbPBxo6R3bQUEuzxEzcnq0eG1ZMHT9hpGOJKAusM8S1DrE2GYZixjc_i8t-h9BF0L9jos0NW4HZwenNyFoVKC5EWUjRRgeuwlIV0tHyNFWmpMqFdoSzCGWFKkxfSStpboTvKNde5KTiXqZUx7nDQS6xCbzQe2TVgXChTKtJtqlOXCPSfXIky1TbBcKySPsSd0iodaMipGsZTlQTm8W967sPex5DnloPjr87HNBMfHYk-2zeMXx6qsBqrMqtjaWzpTKLS2BgEadIkTmVKSaWzvA-7NI9VZ42_i1v_d88NmOUIiNrjm03oNS8Tu4WAplHbwQi3_YHAO1z07c8
linkProvider SAGE Publications
linkToHtml http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV1bS8MwFA6yPagP4hXnNQ-CIFTaJm2TxymOTbc9yIZ7K81NBNlE6__3nCwbihd8DUlazvVLe_IdQs4ctpZ2Mo-chrMqV85EVZxUEfZEgfQrY-vwcvJgmHfH_HaSTUJVJd6FCRJ8u8SyKngjH6yX3o33xLNMSMjbgEtShBcQfpscspZokGa7c_8wWsThTDLfnxUXRLgi_NP8cZMvWcmT93-p7PLJprNJNgJKpO25WrfIip1uk_VP3IE7xPUC0QMIls4cRROYs0HQp080m7SaGlq9P3ruTUMBIiLupgBVKcBm1LGhxta-IMvvg5UgEClg0Bd67JJx52Z03Y1C04RIM8nqqACXErKQDj3RWMaFyph2hbKATJgRJi-klXhMgsiS61TnpkhTya2M4bACDr9HGtPZ1O4TmjJlhCpAPlxzlzAIhaligmubQGZVSYvEC6GVOjCKY2OL5zIJJOLf5NwiF8slL3M6jb8mX6EmlhORCdsPzF4fy-BYpciqWBornEkUj40BvCVN4lSmlFQ6y1vkHPVYLgzr98cd_HvmKVntjgb9st8b3h2StRRwzvyrzBFp1K_v9hhwSq1OgkF-AN992kM
linkToPdf http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV1ZSwMxEA7SguiDeGI98yAIwuruJnvksR6l9ULEom_L5iqCbEtt_78zaVpaPPA1JNllJjPzJZl8Q8iJxdLSVqSBVbBX5dLqoAyjMsCaKBB-RWgsPk5-eEzbXX77lrz5Azd8C-Ml-HmOaVXwR85Zo3UPtL3wd4wXEANzAbEbsEmMEANccJ3zjIc1Um-2nl9fpr44EczVaMUBAY7w95o_TrIQmRyB_0J2lws4rXWy5pEibU5Uu0GWTLVJVuf4A7eI7XiyBxAu7VuKy2DCCEHf56g2aVlpWo57jn9TU4CJiL0pwFUK0Bn1rKk2I5eU5ebBbBDwFtDokj22Sbd183LVDnzhhEAxwUZBBmaVi0xYtEZtGM9lwpTNpAF0wnSu00wYgVsl8C6pilWqszgW3IgQNixg9DukVvUrs0tozKTOZQby4YrbiIE7jCXLuTIRRFcZNUg4FVqhPKs4Frf4KCJPJP5Nzg1yNhsymFBq_NX5EjUx64hs2K6hP-wV3riKPClDoU1udSR5qDVgLqEjKxMphVRJ2iCnqMdiurh-_9zev3sek-Wn61Zx33m82ycrMUCdycHMAamNhmNzCFBlJI_8evwCR6HbUw
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Integration+of+artificial+intelligence+and+augmented+reality+for+assisted+detection+of+textile+defects&rft.jtitle=Journal+of+engineered+fibers+and+fabrics&rft.au=Servi%2C+Michaela&rft.au=Magherini%2C+Roberto&rft.au=Buonamici%2C+Francesco&rft.au=Volpe%2C+Yary&rft.date=2024-01-01&rft.pub=SAGE+Publications&rft.issn=1558-9250&rft.eissn=1558-9250&rft.volume=19&rft_id=info:doi/10.1177%2F15589250231206502&rft.externalDocID=10.1177_15589250231206502
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1558-9250&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1558-9250&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1558-9250&client=summon