International Journal For Multidisciplinary Research

E-ISSN: 2582-2160     Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 6 Issue 6 November-December 2024 Submit your research before last 3 days of December to publish your research paper in the issue of November-December.

Machine Vision AI in Railroad Safety: Advanced Inspection Techniques

Author(s) Sujith Kumar Kupunarapu
Country United States
Abstract This article explores the transformative impact of machine vision AI in railroad safety, focusing on advanced inspection techniques. It examines the integration of technologies such as line scan cameras, LiDAR, and IoT sensors in enabling comprehensive 360-degree inspections of railway infrastructure and
rolling stock. The article discusses key innovations in continuous monitoring, data processing, and AI-driven analysis, highlighting their potential to significantly enhance defect detection accuracy, reduce maintenance costs, and prevent accidents. Real-world applications in structural integrity assessment and
overhead line inspection are presented, along with an analysis of current challenges and future developments in the field. The article underscores the paradigm shift from reactive to proactive maintenance strategies, promising a safer and more efficient future for rail transport.
Keywords Keywords: Machine Vision AI, Railroad Safety, IoT Sensors, Predictive Maintenance, Edge Computing
Field Computer
Published In Volume 6, Issue 6, November-December 2024
Published On 2024-11-06
Cite This Machine Vision AI in Railroad Safety: Advanced Inspection Techniques - Sujith Kumar Kupunarapu - IJFMR Volume 6, Issue 6, November-December 2024.

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