Advancements in Smart Nondestructive Evaluation of Industrial Machines: A Comprehensive Review of Computer Vision and AI Techniques for Infrastructure Maintenance
Infrastructure maintenance is critical to ensuring public safety and the longevity of essential structures. Nondestructive Evaluation (NDE) techniques allow for infrastructure inspection without causing damage. Computer vision has emerged as a powerful tool in this domain, providing automated, effic...
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Format: | Article |
Language: | English |
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MDPI AG
2024-12-01
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Series: | Machines |
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Online Access: | https://www.mdpi.com/2075-1702/13/1/11 |
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author | Samira Mohammadi Sasan Sattarpanah Karganroudi Vahid Rahmanian |
author_facet | Samira Mohammadi Sasan Sattarpanah Karganroudi Vahid Rahmanian |
author_sort | Samira Mohammadi |
collection | DOAJ |
description | Infrastructure maintenance is critical to ensuring public safety and the longevity of essential structures. Nondestructive Evaluation (NDE) techniques allow for infrastructure inspection without causing damage. Computer vision has emerged as a powerful tool in this domain, providing automated, efficient, and accurate solutions for defect detection, structural monitoring, and real-time analysis. This review explores the current state of computer vision in NDE, discussing key techniques, applications across various infrastructure types, and the integration of deep learning models such as convolutional neural networks (CNNs), vision transformers (ViTs), and hybrid models. The review also highlights challenges, including data availability and scalability. It proposes future research directions, including real-time monitoring and the integration of Artificial Intelligence (AI) with Internet of Things (IoT) devices for comprehensive inspections. |
format | Article |
id | doaj-art-38fbd2db697e4e1196afe352b5c91f6a |
institution | Kabale University |
issn | 2075-1702 |
language | English |
publishDate | 2024-12-01 |
publisher | MDPI AG |
record_format | Article |
series | Machines |
spelling | doaj-art-38fbd2db697e4e1196afe352b5c91f6a2025-01-24T13:39:07ZengMDPI AGMachines2075-17022024-12-011311110.3390/machines13010011Advancements in Smart Nondestructive Evaluation of Industrial Machines: A Comprehensive Review of Computer Vision and AI Techniques for Infrastructure MaintenanceSamira Mohammadi0Sasan Sattarpanah Karganroudi1Vahid Rahmanian2Centre National Intégré du Manufacturier Intelligent, Université du Québec à Trois-Rivières, 575 Boul de l’Université, Drummondville, QC J2C 0R5, CanadaCentre National Intégré du Manufacturier Intelligent, Université du Québec à Trois-Rivières, 575 Boul de l’Université, Drummondville, QC J2C 0R5, CanadaCentre National Intégré du Manufacturier Intelligent, Université du Québec à Trois-Rivières, 575 Boul de l’Université, Drummondville, QC J2C 0R5, CanadaInfrastructure maintenance is critical to ensuring public safety and the longevity of essential structures. Nondestructive Evaluation (NDE) techniques allow for infrastructure inspection without causing damage. Computer vision has emerged as a powerful tool in this domain, providing automated, efficient, and accurate solutions for defect detection, structural monitoring, and real-time analysis. This review explores the current state of computer vision in NDE, discussing key techniques, applications across various infrastructure types, and the integration of deep learning models such as convolutional neural networks (CNNs), vision transformers (ViTs), and hybrid models. The review also highlights challenges, including data availability and scalability. It proposes future research directions, including real-time monitoring and the integration of Artificial Intelligence (AI) with Internet of Things (IoT) devices for comprehensive inspections.https://www.mdpi.com/2075-1702/13/1/11nondestructive evaluationstructural health monitoringdefect detectiondeep learning modelspredictive maintenance |
spellingShingle | Samira Mohammadi Sasan Sattarpanah Karganroudi Vahid Rahmanian Advancements in Smart Nondestructive Evaluation of Industrial Machines: A Comprehensive Review of Computer Vision and AI Techniques for Infrastructure Maintenance Machines nondestructive evaluation structural health monitoring defect detection deep learning models predictive maintenance |
title | Advancements in Smart Nondestructive Evaluation of Industrial Machines: A Comprehensive Review of Computer Vision and AI Techniques for Infrastructure Maintenance |
title_full | Advancements in Smart Nondestructive Evaluation of Industrial Machines: A Comprehensive Review of Computer Vision and AI Techniques for Infrastructure Maintenance |
title_fullStr | Advancements in Smart Nondestructive Evaluation of Industrial Machines: A Comprehensive Review of Computer Vision and AI Techniques for Infrastructure Maintenance |
title_full_unstemmed | Advancements in Smart Nondestructive Evaluation of Industrial Machines: A Comprehensive Review of Computer Vision and AI Techniques for Infrastructure Maintenance |
title_short | Advancements in Smart Nondestructive Evaluation of Industrial Machines: A Comprehensive Review of Computer Vision and AI Techniques for Infrastructure Maintenance |
title_sort | advancements in smart nondestructive evaluation of industrial machines a comprehensive review of computer vision and ai techniques for infrastructure maintenance |
topic | nondestructive evaluation structural health monitoring defect detection deep learning models predictive maintenance |
url | https://www.mdpi.com/2075-1702/13/1/11 |
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