TY - JOUR
T1 - Computer vision-based non-contact structural vibration measurement
T2 - Methods, challenges and opportunities
AU - Cheng, Yuansheng
AU - Tian, Zhe
AU - Ning, Donghong
AU - Feng, Ke
AU - Li, Zhixiong
AU - Chauhan, Sumika
AU - Vashishtha, Govind
N1 - Publisher Copyright:
© 2024 Elsevier Ltd
PY - 2025/2/15
Y1 - 2025/2/15
N2 - Understanding and optimizing system performance hinges on analyzing structural vibrations. While contact-based vibration measurement faces limitations including load interference, restricted frequency response, and complex setup non-contact methods utilizing computer vision offer a superior alternative. These methods boast high accuracy, comprehensive measurement capabilities, and cost-effectiveness. This work reviews the latest research in computer vision-based non-contact vibration measurement, exploring both its potential and its challenges. We begin by outlining the fundamental principles and common optical measurement methods. This is followed by an examination of point tracking and digital image correlation, including their technical foundations and applications. Finally, using real-world examples, we discuss current challenges and propose innovative solutions to advance the field of optical vibration measurement.
AB - Understanding and optimizing system performance hinges on analyzing structural vibrations. While contact-based vibration measurement faces limitations including load interference, restricted frequency response, and complex setup non-contact methods utilizing computer vision offer a superior alternative. These methods boast high accuracy, comprehensive measurement capabilities, and cost-effectiveness. This work reviews the latest research in computer vision-based non-contact vibration measurement, exploring both its potential and its challenges. We begin by outlining the fundamental principles and common optical measurement methods. This is followed by an examination of point tracking and digital image correlation, including their technical foundations and applications. Finally, using real-world examples, we discuss current challenges and propose innovative solutions to advance the field of optical vibration measurement.
KW - Computer vision
KW - Deep Learning
KW - Non-contact measurement
KW - Structural health monitoring
KW - Vibration measuring
UR - https://www.scopus.com/pages/publications/85211567974
U2 - 10.1016/j.measurement.2024.116426
DO - 10.1016/j.measurement.2024.116426
M3 - 文献综述
AN - SCOPUS:85211567974
SN - 0263-2241
VL - 243
JO - Measurement: Journal of the International Measurement Confederation
JF - Measurement: Journal of the International Measurement Confederation
M1 - 116426
ER -