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Controlling the target pattern of projected LED arrays for smart lighting
Optics Express
|November 29, 2023
Summary
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.
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.
