Sensors & Transducers Journal
(ISSN 1726- 5479)
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205.767 |
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(ISSN 1726- 5479) |
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Vol. 145, No. 10, September 2012, pp. 138-148
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High-Speed
Fastener Detection System Based on Machine Vision Jinfeng Yang, Wei Tao, Chunfeng Lü, Yongjie Zhang, * Hui Zhao School of Electronic, Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China Tel.: +86 21 34205931, fax: +86 21 34205931 E-mail: huizhao@sjtu.edu.cn
Received: 11 July 2012 /Accepted: 22 October 2012 /Published: 31 October 2012 |
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Abstract: For high-speed railway, rail maintenance is a very important task. Rapid railway transportation needs a stable rail state, including rail surface roughness, rail profile and gauge, etc. As an important rail attachment, rail fastener is to prevent track horizontal and vertical movement, its defect and missing may cause changing of track spacing and destruction of rail joints. So the regular detection of fastener is necessary. This paper introduced fastener detection method using machine vision technique. According to fastener's fixed structure, feature of Direction Field (DF) was proposed for recognition. DF feature is simple and robust for fastener detection in the field under environmental circumstances. Combining the HPC (High Performance Computing) of GPU, it can complete fastener detection task in 400 km/h. A significant consideration is the need to obtain continuous video of the target sections of fastener. By processing the image sequence, two algorithm was presented for pre-position of follow fasteners, and then it can complete targeted acquisition of the fastener location. Pre-position can increase the stability of recognition, and control cost. Through mathematical simulation, verified the feasible of this pre-position method.
Keywords: DF (Direction Field), Fastener, Pre-Position, High-railway
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