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Controlling the target pattern of projected LED arrays for smart lighting.

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    This study introduces a novel least-squares deconvolution method for precise control of smart LED arrays. This technique enables accurate, adaptive illumination patterns for advanced computer vision applications.

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    Area of Science:

    • Optics and Photonics
    • Computer Vision
    • Robotics

    Background:

    • Pixelated LED arrays offer flexible illumination capabilities.
    • Selective illumination is achievable by addressing specific LED matrix areas.
    • Integrating computer vision enables smart, autonomous lighting systems.

    Purpose of the Study:

    • To develop a robust method for calculating LED pixel addressing for desired illumination patterns.
    • To overcome challenges in selective illumination due to projection optics and off-axis configurations.
    • To enable accurate and adaptive smart lighting systems.

    Main Methods:

    • A least-squares deconvolution-based calculation method is proposed.
    • An initial calibration step characterizes the LED array's point-spread-function.
    • The method is validated experimentally for off-axis illumination.

    Main Results:

    • The proposed method accurately calculates LED pixel addressing for target patterns.
    • Experimental validation confirms the approach's accuracy and flexibility.
    • The algorithm is computationally efficient and guarantees a global optimum.

    Conclusions:

    • The developed method facilitates accurate and adaptive smart illumination.
    • It opens new possibilities for advanced computer vision and robotics applications.
    • The approach is versatile and applicable to various illumination configurations.