Cost-effective, vision-based multi-target tracking approach for structural health monitoring

Wu, Tong; Tang, Liang; Shao, Shuai; Zhang, Xiangyu; Liu, Yijun; Zhou, Zhixiang

doi:10.1088/1361-6501/ac2551

Cited by 16 publications

(11 citation statements)

References 32 publications

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“…The two methods of calculating displacement show close agreement. Displacement was measured at several frequencies; the minimum error of 0.195% was recorded when the displacement was 175 mm and the maximum error of 0.447% was recorded when the displacement was 10.335 mm [22][23][24][25][26]. The latest vision-based experiment was conducted on a beam having nine LED light target points subjected to two loading conditions.…”

Section: Resultsmentioning

confidence: 99%

Up-Sampled Cross-Correlation Based Object Tracking & Vibration Measurement in Agriculture Tractor System

Ganesan¹,

Sankaranarayanan²,

Kumar³

et al. 2023

Intelligent Automation &Amp; Soft Computing

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This research introduces a challenge in integrating and cleaning the data, which is a crucial task in object matching. While the object is detected and then measured, the vibration at different light intensities may influence the durability and reliability of mechanical systems or structures and cause problems such as damage, abnormal stopping, and disaster. Recent research failed to improve the accuracy rate and the computation time in tracking an object and in the vibration measurement. To solve all these problems, this proposed research simplifies the scaling factor determination by assigning a known real-world dimension to a predetermined portion of the image. A novel white color sticker of the known dimensions marked with a color dot is pasted on the surface of an object for the best result in the template matching using the Improved Up-Sampled Cross-Correlation (UCC) algorithm. The vibration measurement is calculated using the Finite-Difference Algorithm (FDA), a machine vision system fitted with a macro lens sensor that is capable of capturing the image at a closer range, which does not affect the quality of displacement measurement from the video frames. The field test was conducted on the TAFE (Tractors and Farm Equipment Limited) tractor parts, and the percentage of error was recorded between 30% and 50% at very low vibration values close to zero, whereas it was recorded between 5% and 10% error in most high-accelerations, the essential range for vibration analysis. Finally, the suggested system is more suitable for measuring the vibration of stationary machinery having low frequency ranges. The use of a macro lens enables to capture of image frames at very close-ups. A 30% to 50% error percentage has been reported when the vibration amplitude is very small. Therefore, this study is not suitable for Nano vibration analysis.

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Section: Resultsmentioning

confidence: 99%

Up-Sampled Cross-Correlation Based Object Tracking & Vibration Measurement in Agriculture Tractor System

Ganesan¹,

Sankaranarayanan²,

Kumar³

et al. 2023

Intelligent Automation &Amp; Soft Computing

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“…Moreover, other modern sensing technologies and IoT have been introduced as next-generation data systems in SHM applications. Vision-based multi-target tracking system equipped with an inexpensive surveillance camera and a consumer camera can offer a non-contact, cost-effective, and time-saving alternative to conventional displacement sensors and accelerometers for SHM [79]. Optic fiber sensing can be used to monitor mechanical strain, temperature, humidity, magnetic field, damage phenomena, strain information, and many other physical quantities [80].…”

Section: Data Acquisitionmentioning

confidence: 99%

An overview of technological advancements in the application of structural health monitoring on glass elements

Ahani,

Zhang,

Wang

et al. 2024

Meas. Sci. Technol.

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The concepts behind employing structural health monitoring (SHM) to the glass structures are in their early stages. While limited information by the application of SHM on glass-made elements could obtain through the literature, recent technological advances enrich the state of the art around the glass elements. As yet because of the novelty in both using SHM and the application of LGs for structural purposes, the historical background around the application of SHM on glass elements doesn't exceed 20 years, and the novelty of the concepts around the LGs may be even more. With this in mind, the demanded assessments have to be incept from the very basis of both the glass and SHM sciences to place the stepping stones of the fundamental stage, which would be a platform for the extending evaluations of glass elements at higher levels. This study is an endeavor to bring forward the available approaches for elaborating SHM on structural elements composed of glass with an emphasis on glass façades. According to the outcomes, the requirement for early detection due to its brittle content proffers structural health monitoring as the limited available alternatives for damage detection of the systems composed of it.

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“…In the field of target tracking, compound events are more widely encountered in applications such as health detection, intelligent video surveillance, virtual reality, etc. In [184] the authors designed a vision-based multi-point structural displacement measurement system equipped with an inexpensive surveillance camera and consumer camera, on the basis of which an improved region-matching algorithm based on a priori knowledge of structural deformation was proposed. The design can save computational time without degrading the positioning accuracy.…”

Section: Composite Event Applicationsmentioning

confidence: 99%

Heterogeneous sensing for target tracking: architecture, techniques, applications and challenges

Li²,

Chen³

et al. 2023

Meas. Sci. Technol.

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Target tracking applications are promising, it has great theoretical and practical significance, but the research faces great challenges. With the development of multi-modal depth sensing technology, a large number of scholars have proposed various target tracking methods based on heterogeneous sensing and got great results. This paper provides an overview of the techniques involved in target tracking in the different layers of the network and a comprehensive analysis of the research progress in heterogeneous sensing techniques in each layer. First, this paper introduced the single sensing scheme and heterogeneous sensing scheme in the physical layer. Second, we presented heterogeneous communication technologies and heterogeneous optimization methods for communication protocols in the network layer. Third, we combined several typical heterogeneous sensory target tracking applications and analyzed the application of cloud computing, edge computing, big data, and blockchain technologies. Finally, we discussed the challenges and future direction of heterogeneous sensory target tracking methods.

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Cost-effective, vision-based multi-target tracking approach for structural health monitoring

Cited by 16 publications

References 32 publications

Up-Sampled Cross-Correlation Based Object Tracking & Vibration Measurement in Agriculture Tractor System

Up-Sampled Cross-Correlation Based Object Tracking & Vibration Measurement in Agriculture Tractor System

An overview of technological advancements in the application of structural health monitoring on glass elements

Heterogeneous sensing for target tracking: architecture, techniques, applications and challenges

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