Tramline Surveil System Escorting Liability Observation and Localization

Our robotic system, which combines IoT monitoring and Arduino- based technology to detect obstacles and cracks, is important for railway track inspection. The robot's sensors are designed to match the characteristics of train tracks, ensuring accurate track defect detection and reliable obstacle recognition. This innovative approach provides an automated, low-cost solution for spotting potential hazards, with the purpose of increasing railway track maintenance efficiency. By seamlessly integrating the robot's real-time data collecting into the IoT platform, railway officials will be able to remotely monitor track conditions and perform maintenance measures as needed. Our effort addresses critical safety and maintenance challenges to create a more dependable and safer rail network by combining cutting-edge technology with railway infrastructure requirements. By offering an autonomous, low-cost, and highly sophisticated design that enhances the security and effectiveness of railroad foundation perpetuation, this innovative electronics seeks to transform railroad path inspection procedures. We hope to modernise train networks and provide a reliable, secure way of transport with the aid of this initiative.

Authors

Publication Details

Published
2024-11-23
DOI
https://doi.org/10.1109/icicat62666.2024.10922888
Primary Topic
Vehicle License Plate Recognition
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Tramline Surveil System Escorting Liability Observation and Localization

M Dharshini, K. Bhavadharani, M Dheepa, D Bangadharshini et al.
Vehicle License Plate Recognition
article

Tramline Surveil System Escorting Liability Observation and Localization

M Dharshini, K. Bhavadharani, M Dheepa, D Bangadharshini, N Dhivyabharathi
article en

Abstract

Our robotic system, which combines IoT monitoring and Arduino- based technology to detect obstacles and cracks, is important for railway track inspection. The robot's sensors are designed to match the characteristics of train tracks, ensuring accurate track defect detection and reliable obstacle recognition. This innovative approach provides an automated, low-cost solution for spotting potential hazards, with the purpose of increasing railway track maintenance efficiency. By seamlessly integrating the robot's real-time data collecting into the IoT platform, railway officials will be able to remotely monitor track conditions and perform maintenance measures as needed. Our effort addresses critical safety and maintenance challenges to create a more dependable and safer rail network by combining cutting-edge technology with railway infrastructure requirements. By offering an autonomous, low-cost, and highly sophisticated design that enhances the security and effectiveness of railroad foundation perpetuation, this innovative electronics seeks to transform railroad path inspection procedures. We hope to modernise train networks and provide a reliable, secure way of transport with the aid of this initiative.

Openalex Percentile: Top 59%
Vehicle License Plate Recognition
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Tramline Surveil System Escorting Liability Observation and Localization — M Dharshini, K. Bhavadharani, et al. · (2024) | TGRS Research Map | TGRS