Authors: Ms. Bobbili Bhargavi, Mrs. K. Sowjanya
Abstract: The complex evolution of railway cars influences transit routes. Many mistakes arise from the utilization of train lines. Both Manufacturing mistakes and improper rail usage are responsible. For these deficiencies. There are numerous techniques for detection. Errors must be recognized promptly and rectified. The camera-based technique is One of these methods. By utilizing cameras affixed to the railway vehicle, images of the rail components are examined. Flaws are identified in the rail components. A method for detecting and analysing defects in rail tracks. Surfaces are proposed in this document. The recommended method employs image processing to identify the rail surface. High resolution images captured by specialized cameras mounted on the proposed system encompasses railway inspection cars. A Variety of track issues, including cracks, weld defects, and track Misalignment and ballast degradation are detected. These images were utilized to perform an analysis. Pre-processing and feature extraction. Image processing entails the application of segmentation techniques. Procedures to isolate the track area and emphasize any Potential defects. Fuzzy logic is employed to prioritize maintenance tasks. Based on urgency once issues have been identified and their Severity has been evaluated. Fuzzy logic is particularly adept at capturing the subjective assessments involved in evaluating. track conditions as it offers a flexible framework. Processing ambiguous and imprecise data. To assign appropriate severity ratings for the identified features of each issue. Type, fuzzy rules, and membership functions are developed.
DOI: http://doi.org/10.5281/zenodo.15790262
