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Articles

A Comprehensive Review of Deep Learning and Computer Vision Approaches for Railway Track Crack Detection

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By Harivansh Markam, Nikita Rawat
| ijfmr.com
Author(s) , Country India Abstract Keywords Railway track crack detection, deep learning, YOLOv5, MobileNetV2, transfer learning, computer vision, object detection, convolutional neural network, Streamlit, IoT, non-destructive testing, review Field Computer > Artificial Intelligence / Simulation / Virtual Reality Published In Volume 8, Issue 3, May-June 2026 Published On 2026-06-12
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International Journal For Multidisciplinary Research

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By Harivansh Markam
| ijfmr.com
Railway infrastructure is a critical component of national transportation systems, and maintaining track integrity is paramount for ensuring passenger and cargo safety. Track defects — including surface cracks, transverse fractures, and structural deformations — are a leading cause of derailments worldwide.
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