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Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
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High-precision detection method for an object edge based on a position-sensitive detector.

Yusheng Zhai, Yiheng Zhao, Saisai Yan

    Applied Optics
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    This study introduces a novel object edge detection method using a position-sensitive detector (PSD) in defect spot mode. The technique achieves high sensitivity and accuracy for precise measurements and alignment applications.

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    Area of Science:

    • Optics and Photonics
    • Metrology
    • Instrumentation

    Background:

    • Accurate object edge detection is crucial for high-precision industrial applications.
    • Traditional methods may face limitations in sensitivity and accuracy.
    • Position-sensitive detectors (PSDs) offer potential for advanced metrology.

    Purpose of the Study:

    • To propose and verify an innovative object edge detection method.
    • To enhance edge-detection sensitivity and accuracy using a PSD.
    • To demonstrate the method's applicability in precision measurement and alignment.

    Main Methods:

    • Utilized the defect spot working mode of a position-sensitive detector (PSD).
    • Leveraged the output characteristics of the PSD in defect spot mode.
    • Incorporated the size transformation properties of a focused beam.
    • Performed calibration experiments with a piezoelectric transducer (PZT).

    Main Results:

    • Achieved object edge-detection sensitivity of 1 nm.
    • Demonstrated object edge-detection accuracy of 20 nm.
    • Verified the effectiveness of the proposed method through experiments.

    Conclusions:

    • The proposed PSD-based method significantly improves edge-detection sensitivity and accuracy.
    • This technique is suitable for high-precision alignment and geometric parameter measurement.
    • The defect spot working mode of PSD offers a promising approach for advanced metrology.