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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Issue: December 2025
Volume 10 | Issue 12
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 10
Issue Published : 115
Article Submitted : 19445
Article Published : 8041
Total Authors : 21252
Total Reviewer : 769
Total Countries : 144
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Published Paper Details
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| Paper Title: | Railway Track Object Detection and Crack Detection using Image Processing |
| Authors Name: | Karthik G Sajeev , John Antony , Muhammed Adnan Kamal , Midhun NS |
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IJRTI_201600
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| Published Paper Id: | IJRTI2503180 |
| Published In: | Volume 10 Issue 3, March-2025 |
| DOI: | |
| Abstract: | Railway infrastructure plays a crucial role in transportation, but its maintenance is often challenging due to manual inspection limitations. This project presents an automated railway track monitoring system that leverages image processing and machine learning techniques to detect cracks and foreign objects on railway tracks in real time. High-resolution cameras capture track images, which are then processed using advanced computer vision algorithms to identify structural defects and obstructions. The system integrates a cloud-based storage and communication framework via Firebase, ensuring seamless data exchange between sensors, machine learning models, and railway personnel. By automating defect detection, this system enhances railway safety, minimizes derailment risks, and optimizes maintenance schedules. Compared to traditional inspection methods, it offers a cost-effective, scalable, and efficient approach to railway monitoring. The implementation of deep learning models improves detection accuracy while reducing false positives. Additionally, real-time alerts and predictive maintenance integration further enhance operational efficiency. This project provides a significant step towards intelligent railway infrastructure management, paving the way for safer and more reliable railway networks. |
| Keywords: | Image Processing |
| Cite Article: | "Railway Track Object Detection and Crack Detection using Image Processing", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 3, page no.b532-b540, March-2025, Available :http://www.ijrti.org/papers/IJRTI2503180.pdf |
| Downloads: | 000448 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2503180
Registration ID:201600
Published In: Volume 10 Issue 3, March-2025
DOI (Digital Object Identifier):
Page No: b532-b540 Country: Ernakulam, Kerala, India Research Area: Computer Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2503180 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2503180 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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