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Approach to automated visual inspection of objects based on artificial intelligence

  1. TitleApproach to automated visual inspection of objects based on artificial intelligence
    Author Kuric Ivan
    Co-authors Klarák Jaromír 1994- SAVINFO - Ústav informatiky SAV    SCOPUS    RID    ORCID

    Bulej Vladimír

    Sága Milan

    Kandera Matej

    Hajdučík Adrián

    Tucki Karol

    Source document Applied Sciences-Basel. Vol. 12 (2022), art. no. 864
    Languageeng - English
    CountryCH - Switzerland
    Document kindrozpis článkov z periodík (rbx)
    CitationsERCAN, M. Fikret - WANG, Ricky Ben. Computer Vision-Based Inspection System for Worker Training in Build and Construction Industry. In COMPUTERS, 2022, vol. 11, no. 6, pp. ISSN 2073-431X. Dostupné na: https://doi.org/10.3390/computers11060100.
    RIO-TORTO, Isabel - CAMPANICO, Ana Teresa - PINHO, Pedro - FILIPE, Vitor - TEIXEIRA, Luis F. Hybrid Quality Inspection for the Automotive Industry: Replacing the Paper-Based Conformity List through Semi-Supervised Object Detection and Simulated Data. In APPLIED SCIENCES-BASEL, 2022, vol. 12, no. 11, pp. Dostupné na: https://doi.org/10.3390/app12115687.
    XUE, Wen - ZHAO, Chenyang - FU, Wenpeng - DU, Jianjun - YAO, Yingxue. On-Machine Detection of Sub-Microscale Defects in Diamond Tool Grinding during the Manufacturing Process Based on DToolnet. In SENSORS, 2022, vol. 22, no. 7, pp. Dostupné na: https://doi.org/10.3390/s22072426.
    BI, Changsheng - LIU, Libin - ZHOU, Ming - LIU, Shangyi - ZHAO, Zhiyuan - LI, Lei. Artificial Intelligence Applied in Electrical Engineering Automation. In Lecture Notes on Data Engineering and Communications Technologies, 2022-01-01, 138, pp. 62-69. ISSN 23674512. Dostupné na: https://doi.org/10.1007/978-3-031-05484-6_8.
    CHÁVEZ, J.Y.R. - CASTELLANOS, H.G. - ORTIZ, C.A.O. - MURILLO, D.D. Intelligent system for the continuous improvement of visual inspection of damage in auto parts in the industry. In IPSUMTEC. ISSN 2594-2905, 2022, vol. 5, no. 5, pp. 1-9.
    MA, R.C. - CAI, L.H. Visual analysis of forest sports and health tourism based on artificial intelligence. In JOURNAL OF ELECTRONIC IMAGING. ISSN 1017-9909, NOV 1 2022, vol. 31, no. 6. Dostupné na: https://doi.org/10.1117/1.JEI.31.6.062008.
    KOVáC, J. - MALEGA, P. - RUDY, V. - SVETLíK, J. Vumark's Method of Production Layout Designing. In APPLIED SCIENCES-BASEL. FEB 2023, vol. 13, no. 3. Dostupné na: https://doi.org/10.3390/app13031496.
    PEI, M.J. - LIU, N.Z. - GAO, P. - SUN, H. Reverse Knowledge Distillation with Two Teachers for Industrial Defect Detection. In APPLIED SCIENCES-BASEL. MAR 2023, vol. 13, no. 6. Dostupné na: https://doi.org/10.3390/app13063838.
    SUTKA, J. - MEDVECKá, D. - KONAR, R. - BRUNA, M. - MATEJKA, M. Evaluation of Selected Technological Parameters for Selective Laser Melting of AlSi10Mg Metal Powder. In MANUFACTURING TECHNOLOGY. ISSN 1213-2489, FEB 2023, vol. 23, no. 1, p. 110-117. Dostupné na: https://doi.org/10.21062/mft.2023.003.
    WANG, Yuanbin - WANG, Wenhu. Generative Adversarial Network-Based Data Augmentation for Tyre Surface Defect Detection. In IEEE International Conference on Automation Science and Engineering, 2023-01-01, 2023-August, pp. ISSN 21618070. Dostupné na: https://doi.org/10.1109/CASE56687.2023.10260675.
    HÜTTEN, Nils - ALVES GOMES, Miguel - HÖLKEN, Florian - ANDRICEVIC, Karlo - MEYES, Richard - MEISEN, Tobias. Deep Learning for Automated Visual Inspection in Manufacturing and Maintenance: A Survey of Open- Access Papers. In Applied System Innovation, 2024-02-01, 7, 1, pp. Dostupné na: https://doi.org/10.3390/asi7010011.
    CategoryADCA - Scientific papers in foreign journals registered in Current Contents Connect with IF (impacted)
    Category of document (from 2022)V3 - Vedecký výstup publikačnej činnosti z časopisu
    Type of documentčlánok
    Year2022
    Registered inWOS
    Registered inSCOPUS
    Registered inCCC
    DOI 10.3390/app12020864
    article

    article

    rokCCIFIF Q (best)JCR Av Jour IF PercSJRSJR Q (best)CiteScore
    A
    rok vydaniarok metrikyIFIF Q (best)SJRSJR Q (best)
    202220212.838Q20.507Q2
Number of the records: 1  

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