• DocumentCode
    29631
  • Title

    Railway Fastener Inspection by Real-Time Machine Vision

  • Author

    Aytekin, Caglar ; Rezaeitabar, Yousef ; Dogru, Sedat ; Ulusoy, Ilkay

  • Author_Institution
    Electr. & Electron. Eng. Dept., Middle East Tech. Univ., Ankara, Turkey
  • Volume
    45
  • Issue
    7
  • fYear
    2015
  • fDate
    Jul-15
  • Firstpage
    1101
  • Lastpage
    1107
  • Abstract
    In this paper, a real-time railway fastener detection system using a high-speed laser range finder camera is presented. First, an extensive analysis of various methods based on pixel-wise and histogram similarities are conducted on a specific railway route. Then, a fusing stage is introduced which combines least correlated approaches also considering the performance upgrade after fusing. Then, the resulting method is tested on a larger database collected from a different railway route. After observing repeated successes, the method is implemented on NI LabVIEW and run real-time with a high-speed 3-D camera placed under a railway carriage designed for railway quality inspection.
  • Keywords
    computer vision; fasteners; image fusion; image resolution; image sensors; inspection; laser ranging; object detection; quality management; railway engineering; virtual instrumentation; NI LabVIEW; fusing stage; high-speed 3D camera; high-speed laser range finder camera; histogram similarities; least correlated approaches; performance upgrade; pixel-wise similarities; railway carriage; railway quality inspection; real-time machine vision; real-time railway fastener detection system; specific railway route; Fasteners; Histograms; Inspection; Principal component analysis; Rail transportation; Rails; Training; High-speed laser range finder; railway fastener detection; railway inspection;
  • fLanguage
    English
  • Journal_Title
    Systems, Man, and Cybernetics: Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    2168-2216
  • Type

    jour

  • DOI
    10.1109/TSMC.2014.2388435
  • Filename
    7015636