Monitoring cantilever beam with a vision-based algorithm and smartphone

Orak, Mehmet Sefa; Öztürk, Turgut

doi:10.21595/vp.2018.19873

Cited by 3 publications

(3 citation statements)

References 16 publications

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“…Following that, image processing and analysis techniques may be used to extract significant information and highlight places of interest, such as fractures or possible damage. Orak and Ozturk [84] employed smartphones and computer vision algorithms to estimate the vibrating characteristics of a cantilever slender beam. They applied the local multithreshold technique to extract the natural frequencies of vibration of the beam, facilitating the analysis of its dynamic behavior.…”

Section: Smartphonementioning

confidence: 99%

“…The monitoring of structural health was addressed in this research through a novel model. The model employs a camera and computer vision techniques to predict the vibration measurement of a cantilever beam in a contactless manner [84]. The proposed model involves the use of a traditional smartphone in slow motion and image processing methods to robustly extract the spatial frequency of the cantilever beam.…”

Section: Multithresholding Techniquementioning

confidence: 99%

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Evolution of Crack Analysis in Structures Using Image Processing Technique: A Review

Azouz,

Honarvar Shakibaei Asli,

Khan

2023

Electronics

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Structural health monitoring (SHM) involves the control and analysis of mechanical systems to monitor the variation of geometric features of engineering structures. Damage processing is one of the issues that can be addressed by using several techniques derived from image processing. There are two types of SHM: contact-based and non-contact methods. Sensors, cameras, and accelerometers are examples of contact-based SHM, whereas photogrammetry, infrared thermography, and laser imaging are non-contact SHM techniques. In this research, our focus centres on image processing algorithms to identify the crack and analyze its properties to detect occurred damages. Based on the literature review, several preprocessing approaches were employed including image enhancement, image filtering to remove the noise and blur, and dynamic response measurement to predict the crack propagation.

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Section: Smartphonementioning

confidence: 99%

Section: Multithresholding Techniquementioning

confidence: 99%

Evolution of Crack Analysis in Structures Using Image Processing Technique: A Review

Azouz,

Honarvar Shakibaei Asli,

Khan

2023

Electronics

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“…Unmanned aerial vehicles are emerging hardware used in VBM to collect visual information of damages in structures (Perry et al, 2020). Moreover, promising accuracy of response measurement has been recorded by researchers using readily available advances in the in-built camera of smartphones (Kromanis et al, 2019b;Orak and Ozturk, 2018).…”

Section: Hardware Adaptabilitymentioning

confidence: 99%

Proceedings of the Joint International Resilience Conference, JIRC2020

Hölscher¹

2020

Proceedings of the Joint International Resilience Conference, JIRC2020

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co-organized by the 4TU.Centre for Resilience Engineering and the Future Resilient Systems Program FRS at the Singapore ETH Center SEC, took place in November 2020. The conference brought -for the first time -together two communities that were before organized separately. Conference as a meeting placeThe 4TU.RE conferences and community focus on improving resilience of coupled socio-technicalenvironmental (STE) systems. Accordingly, resilience engineering knowledge and expertise are combined with principles of adaptation, both of which are learning and tipping points characteristic for the socioecological systems. FRS Singapore had organized two conferences on resilience preceding the current joint event.

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