Design of an Intelligent Orbital Inspection Robot Based on Machine Vision and Ultrasonic Guided Waves

This paper introduces a wheel-foot switching track inspection robot based on machine vision and ultrasonic guided wave for enhancing the automation and intelligence of track inspection.The robot integrates the BeiDou positioning and autonomous traveling system, and combines image processing and ultrasonic guided wave technology to efficiently detect track cracks, settlements and other defects.The innovative wheel-foot switching structure and electro-hydraulic leveling platform improve the multi-terrain adaptability.The defect recognition algorithm based on particle swarm optimization algorithm and support vector machine, as well as the visual data processing platform, realizes the real-time transmission and analysis of inspection data.Tests show that the system has high inspection accuracy and stability, providing a reference for intelligent track inspection.

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Publication Details

Journal
Proceedings of International Conference on Artificial Life and Robotics
Published
2025-02-13
DOI
https://doi.org/10.5954/icarob.2025.os9-7
Primary Topic
Medical Imaging and Analysis
Type
article
Field-Weighted Citation Impact
0.00
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article

Design of an Intelligent Orbital Inspection Robot Based on Machine Vision and Ultrasonic Guided Waves

Suqing Duan, Xingwang Feng
Proceedings of International Conference on Artificial Life and Robotics
Medical Imaging and Analysis
article

Design of an Intelligent Orbital Inspection Robot Based on Machine Vision and Ultrasonic Guided Waves

Suqing Duan, Xingwang Feng
article en

Abstract

This paper introduces a wheel-foot switching track inspection robot based on machine vision and ultrasonic guided wave for enhancing the automation and intelligence of track inspection.The robot integrates the BeiDou positioning and autonomous traveling system, and combines image processing and ultrasonic guided wave technology to efficiently detect track cracks, settlements and other defects.The innovative wheel-foot switching structure and electro-hydraulic leveling platform improve the multi-terrain adaptability.The defect recognition algorithm based on particle swarm optimization algorithm and support vector machine, as well as the visual data processing platform, realizes the real-time transmission and analysis of inspection data.Tests show that the system has high inspection accuracy and stability, providing a reference for intelligent track inspection.

Proceedings of International Conference on Artificial Life and RoboticsVol. 30
Tianjin University of Science and Technology (CN)
Affordable and clean energy
Openalex Percentile: Top 84%
Medical Imaging and Analysis
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