Rail Defect Detection with Real Time Image Processing Technique |
Author(s): |
| Prof. Kanchan Pradhan , Shree Ramchandra College of Engineering; Jayashri Manmode, Shree Ramchandra College of Engineering; Sagar Kawade, Shree Ramchandra College of Engineering; Priyanka Mane, Shree Ramchandra College of Engineering; Kumudini Khond, Shree Ramchandra College of Engineering |
Keywords: |
| Rails, Acoustics, Phased Arrays, Field Programmable Gate Arrays, Logic Gates, Fasteners, Rail Defect Detection, FPGA, High Precision |
Abstract |
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Railway track or crack on rail path defect detection is a more important process for railway transportation. Because defects on the rail track cause to problems such as the cost, the disruption of transportation and security, railway accident. In this study, based real-time video processing algorithm used Morphological feature extraction is recommended to detection defects on train path. The rail is detected by applying big Transform and image processing techniques to rail track defect images obtained from the real time camera or IR sensors. Features of the detected train track defect images are extracted with applying morphological operations and defected regions are identified. In this study, results with low uptime and high success rate are acquired by performing all steps of proposed algorithm to the images of rail taken under different lighting and direction. |
Other Details |
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Paper ID: IJSRDV5I120371 Published in: Volume : 5, Issue : 12 Publication Date: 01/03/2018 Page(s): 654-656 |
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