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Automated Visual Inspection of Railroads

The purpose of this research project is to develop an automated visual inspection system for reliable identification and localization of structural defects in railroad tracks. The system relies on computer vision and pattern recognition techniques to detect abnormal parts along the track. This is useful for the relevant personnel to guarantee railroad compliance with the Federal Railroad Administration Track Safety Standards. This project is funded by Florida Department of Transportation. Structural defects will be related to following parts:

• Crossties and Tie Plates

• Defective Rails

• Cracks in the Rail Joints

• Rail Gauge Defects
   

Some samples images:

Pandoral clip                                                      Bolt  

Intermediate results of spike detection:

Remote controlled hi-rail vehicle

shown in these videos was developed at UCF by Don Harper, SEECS, UCF.

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