Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/65705
Title: Intelligent visual inspection system for train
Authors: Yan, Siyu
Keywords: DRNTU::Engineering::Electrical and electronic engineering
Issue Date: 2015
Abstract: As one of the key elements in the railway transportation system, the rail track is exposed in an outdoor environment suffering from severe weather conditions, apart from this, it is deformed continuously due to the loads of the train carriage which leads to the changing of the track dimensions. All of these abovementioned are the factors that need to be taken into consideration fo the repair and maintenance of the rail transportation system. For the sake of public interest and security, the company providing train service and relevant government authorityshoud know the real-time operating condition of the railway track, in case there might be some potential risks which will cause accidents. The main purpose of this project is to develop an algorithm to detect the defect and failure by application of camera to capture the image of the rail track cross-section. The advantage of this algorithm to be applied in industry is to get a highly accurate automatic inspection method with less labor consumed, thus train accidents would be averted.
URI: http://hdl.handle.net/10356/65705
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)

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