Superpixel-Based Sensor Grid for Robust Infrastructure Monitoring
- Structural health monitoring (SHM) and condition monitoring are crucial processes that ensure reliability and safety of engineering systems in a variety of fields, including aerospace, civil engineering, and...
- Traditional methods typically employ contact-type sensors for this purpose.
- Vision-based methods, where non-contact, full-field vibration measurement is conducted directly from video sequences, have emerged as promising alternatives.
Credit: Chonnam National university
Structural health monitoring (SHM) and condition monitoring are crucial processes that ensure reliability and safety of engineering systems in a variety of fields, including aerospace, civil engineering, and industry. These systems are frequently enough assessed using vibration-based methods, where damage is detected by analyzing changes in a structureS vibration characteristics.
Traditional methods typically employ contact-type sensors for this purpose. While effective, these methods face several limitations, including low spatial resolution, high costs, difficulties in sensor placement, and measurements that are restricted to small regions around each sensor.
Emergence of vision-based alternatives
Vision-based methods, where non-contact, full-field vibration measurement is conducted directly from video sequences, have emerged as promising alternatives. In addition to being simple and low cost, these methods offer high spatial resolutions and are suitable for structures with complex geometries or limited accessibility.
Full-field motion estimation also enables assessment of the entire structure. However, many existing vision-based approaches struggle with large structural motions, low-texture surfaces, or changes in lighting.
Although recently developed phase-based optical flow methods improve robustness by estimating motion from phase data, they still rely on pixel-level data, which, in addition to being computationally intensive and difficult to interpret, is inherently vulnerable to noise, lighting fluctuations, and distortion.
Progress of a superpixel-based framework
To address these challenges, a
Researchers at chonnam National University developed a new method for measuring vibrations on objects. They use virtual sensor grids, combining superpixel segmentation and phase-based optical flow. This allows for full-field vibration measurement without needing physical sensors across the entire surface.
The team published their findings in Mechanical Systems and Signal Processing in 2025.their work details how this virtual approach can accurately capture vibration patterns. It offers a potentially simpler and more cost-effective choice to traditional methods.
More information: Yeseul Kong et al, Virtual sensor grids for full-field vibration measurement via superpixel segmentation and phase-based optical flow, Mechanical Systems and Signal Processing (2025). DOI: 10.1016/j.ymssp.2025.113414
Provided by Chonnam National university