Due to the narrowness of space and the complexity of structure, the assembly of cabin parts has become one of the major bottlenecks in the whole manufacturing process. This paper presents a computer vision-based assistant system that integrates assembly planning, assembly training and guidance, assembly status inspection, and assembly quality evaluation to improve the assembly efficiency and quality of cabin products. By using a novel real-time 3D object registration approach, the mixed reality technology is applied to assembly training and guidance of cabin parts. A machine vision-based custom-made inspection system is designed for assembly surplus detection and gap measurement in half-enclosed cabin space. A cabin assembly quality model is proposed on the basis of Markov chain to quantitatively evaluate the cabin assembly quality. A case study is given to demonstrate the practical application of the proposed system.


    Access

    Access via TIB

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    A computer vision-based assistant system for the assembly of narrow cabin products


    Contributors:
    Liu, Yi (author) / Li, Shiqi (author) / Wang, Junfeng (author) / Zeng, Hongmei (author) / Lu, Jiping (author)


    Publication date :

    2015


    Size :

    13 Seiten




    Type of media :

    Article (Journal)


    Type of material :

    Print


    Language :

    English




    Narrow-bodied aircraft cabin

    European Patent Office | 2021

    Free access

    Narrow-bodied aircraft cabin

    JAMES BYRON WOODINGTON / RACHEL JAMES / JURRE MIEDEMA | European Patent Office | 2023

    Free access

    Cabin assembly system, cabin and automobile

    LI DENGMING / CHEN KUN | European Patent Office | 2023

    Free access

    Cabin assembly hoisting system

    PAN CHUNWEI / MA RUI | European Patent Office | 2024

    Free access

    VISION BASED AIRCRAFT CABIN AMBIENT LIGHT CONTROL

    BALASUBRAMANIAN RAMESHKUMAR / PESIK JOSEPH T | European Patent Office | 2023

    Free access