Railway Fastener Inspection by Real-Time Machine Vision

Aytekin, Caglar
Dogru, Sedat
Ulusoy, İlkay
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.


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Citation Formats
C. Aytekin, Y. REZAEITABAR, S. Dogru, and İ. Ulusoy, “Railway Fastener Inspection by Real-Time Machine Vision,” IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, pp. 1101–1107, 2015, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/38678.