Name
Abstract | ||
|---|---|---|
This paper describes a real-time vibration spectrum imaging system that uses a pixel-level short-term Fourier transform (STFT). This pixel-level STFT function for high-frame-rate images at 1000 fps or greater is accelerated through its parallel-implementation on a GPU-based high-speed vision system, and $512 \times 512$ peak-frequency images in a wide frequency band can be obtained in real time at more than 50 fps. The effectiveness of our real-time vibration spectrum imaging method was demonstrated using the vibration results for a fan, multicopter, and guitar string, which had rotating or vibrating frequencies in the range of hundreds of Hertz. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/SII.2019.8700340 | 2019 IEEE/SICE International Symposium on System Integration (SII) |
Keywords | Field | DocType |
Vibrations,Real-time systems,Imaging,Sensors,Fans,Machine vision,Cutoff frequency | Computer vision,Machine vision,Frequency band,Short-time Fourier transform,Guitar,Fourier transform,Artificial intelligence,Vibration,Engineering,Hertz,Cutoff frequency | Conference |
ISSN | ISBN | Citations |
2474-2317 | 978-1-5386-3615-2 | 1 |
PageRank | References | Authors |
0.36 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kohei Shimasaki | 1 | 1 | 2.73 |
| Tomoaki Okamura | 2 | 1 | 0.36 |
| Mingjun Jiang | 3 | 4 | 2.47 |
| Takeshi Takaki | 4 | 222 | 38.04 |
| Idaku Ishii | 5 | 355 | 64.37 |