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Laser-aligned snapshot optical fiber-linked system enhanced by a machine learning approach.
Applied Optics
|August 12, 2025
Summary
This study introduces a novel fiber optic surface measurement system for accurate roughness and step height analysis. The system uses Fourier transform profilometry and machine learning for real-time, efficient data acquisition in industrial settings.
Area of Science:
- Optical Engineering
- Metrology
- Data Acquisition Systems
Background:
- Fiber optic links are essential for data gathering in mainframe analysis.
- Current optical metrology systems can be cumbersome.
- Accurate surface measurement is critical for industrial applications.
Purpose of the Study:
- To present a new fiber optic surface measurement system.
- To demonstrate accurate measurement of surface roughness and step heights.
- To explore integration with machine learning for enhanced performance.
Main Methods:
- Utilizing a dispersive optical fiber-linked system with a laser diode.
- Employing Fourier transform profilometry (FTP) with a synthetic wavelength approach.
- Investigating the impact of single-mode and multimode optical fibers.
Main Results:
- The system achieves real-time, highly accurate data acquisition.
- Multimode fiber systems show repeatability similar to single-mode fibers (∼20 nm).
- Potential for real-time feedback and improved measurement reliability.
Conclusions:
- The proposed fiber optic system offers a compact and accurate solution for surface metrology.
- Integration with machine learning enhances accuracy and efficiency.
- Further investigation into fiber type compatibility for embedded metrology is needed.
