Abstract
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.
| Original language | English |
|---|---|
| Article number | 116426 |
| Journal | Measurement: Journal of the International Measurement Confederation |
| Volume | 243 |
| DOIs | |
| State | Published - 15 Feb 2025 |
Keywords
- Computer vision
- Deep Learning
- Non-contact measurement
- Structural health monitoring
- Vibration measuring
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