Exploration of Rail Defects Detection System

To solve the problem of improving the detection efficiency of rails, a rail surface defect detection system was proposed. Combine the general model of machine vision with the relevant characteristics of rail surface defects, use image processing methods to analyze the results of rail flaw detection and the actual track image, accurately find out the location of its defects, save time and labor, and improve work. effectiveness. The number of defect images acquired at the time of detection is numbered, and then the extraction of the defect feature values and the judgment of the defect type are performed. The defective image is compared with a normal image, and different methods are performed depending on the type of defect. Experimental results show that the system can effectively identify defects and achieve the purpose of detection.