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
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;
Journal_Title :
Systems, Man, and Cybernetics: Systems, IEEE Transactions on
DOI :
10.1109/TSMC.2014.2388435