Automatic Robot for Rail Crack Detection System

Railway infrastructure safety remains a critical concern in modern transportation systems. This paper presents a novel approach to enhancing rail way safety through the integration of robotic technology for crack detection and advanced object detection algorithms. And by deploying autonomous robotic platforms equipped with cutting-edge sensors, including high- resolution cameras, we enable efficient and accurate detection of rail defects. Through extensive experimentation and validation, we could demonstrate the effectiveness of our solution in enhancing railway safety and operational efficiency. Our work represents a significant step towards proactive crack detection, contributing to the advancement of railway infrastructure maintenance practices worldwide.

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Publication Details

Published
2024-11-07
DOI
https://doi.org/10.1109/csitss64042.2024.10816797
Citations
1
Primary Topic
Vehicle License Plate Recognition
Type
article
Field-Weighted Citation Impact
0.32
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article

Automatic Robot for Rail Crack Detection System

C. S. S. Anupama, S. Shaik, Sai Manikanta Garlapati, Mani Durga Deepak Balaga et al.
1 citations
Vehicle License Plate Recognition
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article

Automatic Robot for Rail Crack Detection System

C. S. S. Anupama, S. Shaik, Sai Manikanta Garlapati, Mani Durga Deepak Balaga, Srivalli Chennamsetti
article en
1 citations

Abstract

Railway infrastructure safety remains a critical concern in modern transportation systems. This paper presents a novel approach to enhancing rail way safety through the integration of robotic technology for crack detection and advanced object detection algorithms. And by deploying autonomous robotic platforms equipped with cutting-edge sensors, including high- resolution cameras, we enable efficient and accurate detection of rail defects. Through extensive experimentation and validation, we could demonstrate the effectiveness of our solution in enhancing railway safety and operational efficiency. Our work represents a significant step towards proactive crack detection, contributing to the advancement of railway infrastructure maintenance practices worldwide.

Siddhartha Medical College (IN)
Openalex Percentile: Top 33%
Vehicle License Plate Recognition
0.32
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