Monitoring cantilever beam with a vision-based algorithm and smartphone

Mehmet Sefa Orak*, Turgut Ozturk

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

4 Citations (Scopus)


The study presented in this manuscript deals with a non-contact structural health monitoring approach based on the use of smartphone and computer vision algorithm to estimate the vibrating characteristics of a cantilever slender beam. We hypothesize that the vibration of the beam can be captured using a smartphone in slow-motion modality and the natural frequency of the beam can be extracted using a computer vision algorithm. The results show an excellent agreement between the conventional contact method and the non-contact novel approach proposed here.

Original languageEnglish
Pages (from-to)107-111
Number of pages5
JournalVibroengineering Procedia
Publication statusPublished - 1 Apr 2018
Event31st International Conference on Vibroengineering - Dubai, United Arab Emirates
Duration: 20 Apr 201822 Apr 2018

Bibliographical note

Publisher Copyright:


The first author was supported by the Scientific and Technological Research Council of Turkey (TUBITAK) 2214/A International Doctoral Research Fellowship Programme (Grant No. #1059B141600085). The experiments were held at the Laboratory for Nondestructive Evaluation and Structural Health Monitoring Studies at University of Pittsburgh. Authors would also like to acknowledge Piervincenzo Rizzo and Amir Nasrollahi from the Department of Civil and Environmental Engineering at University of Pittsburgh and also, David Mas and Belen Ferrer from the Department of Civil Engineering at University of Alicante.

FundersFunder number
Türkiye Bilimsel ve Teknolojik Araştirma Kurumu


    • Computer vision
    • Nondestructive testing
    • Structural health monitoring


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