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Electronic Distance Measuring Instruments01:30

Electronic Distance Measuring Instruments

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Electronic Distance Measuring Instruments (EDMs) are essential tools in modern surveying, offering precise distance measurements by emitting electromagnetic signals and calculating the time required for these signals to travel to a target and return. Two primary types of signals are used in EDMs — light waves and microwaves — each suited to specific environmental and distance requirements. Light-wave-based EDMs utilize either infrared or laser light, providing high accuracy over...
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Related Experiment Video

Updated: Mar 8, 2026

Observation and Analysis of Blinking Surface-enhanced Raman Scattering
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Camera vibration measurement using blinking light-emitting diode array.

Kazuki Nishi, Yuichi Matsuda

    Optics Express
    |February 4, 2017
    PubMed
    Summary

    This study introduces a novel method for measuring camera vibrations using a blinking LED test chart, achieving high accuracy. The technique detects vibration trajectories and waveforms directly from camera images, enhancing diagnostic capabilities.

    Area of Science:

    • Optics and Photonics
    • Image Processing
    • Mechanical Engineering

    Background:

    • Camera shake and shutter shock are common issues affecting image quality.
    • Existing methods for measuring camera vibrations can be complex or indirect.
    • Accurate vibration measurement is crucial for developing advanced camera stabilization technologies.

    Purpose of the Study:

    • To develop and validate a new, image-based method for measuring camera vibrations.
    • To quantify the accuracy and sensitivity of the proposed vibration measurement technique.
    • To demonstrate the practical application of the method in commercial cameras.

    Main Methods:

    • Utilized a time-varying test chart composed of a blinking light-emitting-diode (LED) array.
    • Developed a theoretical framework for analyzing camera images to extract vibration data.

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  • Implemented pattern analysis algorithms to detect vibration trajectory and transient waveforms.
  • Conducted verification experiments to assess detection accuracy and robustness.

    • Main Results:

    • Achieved a detection accuracy and sensitivity of 0.1 pixels for camera vibrations.
    • Demonstrated robustness against image distortion.
    • Successfully measured camera vibrations in commercial camera systems.
    • Validated the effectiveness of the time-varying LED array test chart.

    Conclusions:

    • The proposed image-based method offers a precise and reliable way to measure camera vibrations.
    • The technique is effective for diagnosing camera shake and shutter shock.
    • This advancement has significant implications for camera design and image stabilization research.