Paper
20 November 2012 A speed auto-adaptable system for high speed inspection of rail-track defects
Jia Ge, Yunhan Luo, Jun Zhang, Long Guo, Liang Sun, Zhe Chen
Author Affiliations +
Abstract
High quality images play a key role in inspecting surface defect of rail track. However, image distortion is frequently occurred in traditional detection systems in which exposure frequency of camera are fixed as constant. The system studied in this paper improves traditional systems by combining a speed auto-adaptable (SAA) system, to adjust proper exposure frequency and uniform image quality all the time according to vehicle riding speed. The system mainly consists of a high-speed external controlled camera, a rotary encoder and a signal processing card, with this system, performance in avoiding image distortion both in laboratory test and practical application can be achieved with minimum detection precision of 0.2 mm at relative low speed and theoretically maximum detection speed of approximate 489 km/h.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jia Ge, Yunhan Luo, Jun Zhang, Long Guo, Liang Sun, and Zhe Chen "A speed auto-adaptable system for high speed inspection of rail-track defects", Proc. SPIE 8563, Optical Metrology and Inspection for Industrial Applications II, 85630Y (20 November 2012); https://doi.org/10.1117/12.999324
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KEYWORDS
Imaging systems

Cameras

Image processing

Distortion

Signal processing

Computer programming

Inspection

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