In this extended abstract, we present a computer vision systems that, using machine learning approaches, is able to inspect both internal and external parts of aerospace components. The problem is divided in two main inspection tasks: (i) model-checking of avionic components and (ii) duct-inspection for defects detection in cavities.


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    Titel :

    External and internal quality inspection of aerospace components


    Beteiligte:


    Erscheinungsdatum :

    01.06.2020


    Format / Umfang :

    3990476 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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