An Automated Railway Unguarded Level Crossing using Lab View

This research study introduces an advanced automated system for unguarded railway level crossings, developed using LabView,with the primary objective of enhancing safety and mitigating accident risks. The TDS employs vibration and inductive proximity sensors to reliably detect the approach of trains, providing timely alerts. In parallel, the LCS utilizes a camera module that integrates sophisticated image processing and machine learning algorithms to identify and track vehicles at the crossing accurately. Secure wireless communication between the TDS and LCS is achieved through the AES algorithm, ensuring robust data transmission while minimizing potential vulnerabilities. This automated solution not only delivers real-time alerts for train operators and road users but also enhances the overall efficiency of railway operations. By tackling the significant safety issues posed by unguarded level crossings, The design suggested provides an economical and scalable approach this may greatly enhance public safety and foster sustainable development within the railway infrastructure.

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Publication Details

Published
2024-12-17
DOI
https://doi.org/10.1109/icicnis64247.2024.10823211
Citations
1
Primary Topic
Hand Gesture Recognition Systems
Type
article
Field-Weighted Citation Impact
0.37
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article

An Automated Railway Unguarded Level Crossing using Lab View

M. P. Mohandass, Dhanush Nigandan Sri. N, Saron raj. Y, A Stephan
1 citations
Hand Gesture Recognition Systems
0.37
article

An Automated Railway Unguarded Level Crossing using Lab View

M. P. Mohandass, Dhanush Nigandan Sri. N, Saron raj. Y, A Stephan
article en
1 citations

Abstract

This research study introduces an advanced automated system for unguarded railway level crossings, developed using LabView,with the primary objective of enhancing safety and mitigating accident risks. The TDS employs vibration and inductive proximity sensors to reliably detect the approach of trains, providing timely alerts. In parallel, the LCS utilizes a camera module that integrates sophisticated image processing and machine learning algorithms to identify and track vehicles at the crossing accurately. Secure wireless communication between the TDS and LCS is achieved through the AES algorithm, ensuring robust data transmission while minimizing potential vulnerabilities. This automated solution not only delivers real-time alerts for train operators and road users but also enhances the overall efficiency of railway operations. By tackling the significant safety issues posed by unguarded level crossings, The design suggested provides an economical and scalable approach this may greatly enhance public safety and foster sustainable development within the railway infrastructure.

Institute of Engineering (NP)
Sustainable cities and communities
Openalex Percentile: Top 35%
Hand Gesture Recognition Systems
0.37
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