Xiaozhong Wang, Rui Yu, Wei Guo, Xueyuan Huang, Wenchen Li, Cheng Wang. Research Progress in Microvibration Detection Technology Based on Laser Speckles[J]. Laser & Optoelectronics Progress, 2022, 59(14): 1415005
- Laser & Optoelectronics Progress
- Vol. 59, Issue 14, 1415005 (2022)
Fig. 1. Schematic diagram of laser speckle microvibration measurement
Fig. 2. Pig heartbeat and respiration signals extraction based on laser speckle.(a) Extracted heartbeat signal; (b) part of extracted heartbeat signal; (c) extracted respiratory signal; (d) part of extracted respiratory signal
Fig. 3. Flowchart of vibration measurement based on adaptive seed point matching algorithm
Fig. 4. Calculation result of digital image correlation algorithm. (a) Correlation coefficient distribution;
Fig. 5. Flowchart of visual microphone scheme[17]
Fig. 6. Combined detection scheme of photodiode and spatial light modulator
Fig. 7. Optimization of photodiode detection scheme
Fig. 8. Schematic diagram of experimental setup for line array CCD imaging
Fig. 9. Experimental setup, signal processing procedure, and typical results[25]
Fig. 10. Average displacement error for different sub-block sizes
Fig. 11. Restoration of single frequency vibration signal by phase correlation method. (a) 300 Hz-1.5 kHz; (b) 3 kHz-7 kHz; (c) 12 kHz-20 kHz
Fig. 12. Laser speckle microvibration signal extraction method based on deep neural network. (a) Structure of neural network; (b) flowchart of data processing
Fig. 13. Schematic diagram of image exposure and readout of a rolling shutter camera[35]
Fig. 14. Flowchart of signal extraction for Shearlet transform algorithm
Fig. 15. Photographs of the experiment. (a) Cantilever beam; (b) air compressor
Fig. 16. Flowchart of signal extraction
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Table 1. Selection of detectors
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Table 2. Optical microvibration detection scheme
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