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Real-Time CGH Generation by CUDA-OpenGL Interoperability for Adaptive Beam Steering with a MEMS Phase SLM
Chin-I Tang1, Xianyue Deng1, Yuzuru Takashima1
1James C. Wyant College of Optical Science, University of Arizona, 1630 E. University Blvd., Tucson, AZ 85719, USA.
Micromachines
|September 23, 2022
Summary
This study introduces a faster, adaptive laser beam steering method using computer-generated holograms (CGH) and a phase light modulator (PLM). This flexible framework scans only regions of interest, improving efficiency over traditional methods.
Area of Science:
- Optics and Photonics
- Computer Vision
- Laser Technology
Background:
- Conventional laser scanning methods like raster scanning are time-consuming and inflexible.
- Efficiently steering laser beams to multiple, specific regions of interest in real-time remains a challenge.
Purpose of the Study:
- To develop a novel beam steering framework that replaces raster scanning with a more time-efficient and flexible approach.
- To enable real-time, simultaneous, and adaptive beam steering into multiple regions of interest.
Main Methods:
- Utilized CUDA-OpenGL interoperability with a computationally efficient computer-generated hologram (CGH) calculation algorithm.
- Employed a MEMS-based phase light modulator (PLM), specifically a Texas Instruments Phase Light Modulator (TI-PLM).
- Integrated a real-time CGH generation and display algorithm with adaptive control of power and scan resolution via camera-based object recognition.
Main Results:
- Demonstrated a beam steering framework capable of scanning over 1000 points/s with more than 5 beams using a mid-range laptop GPU and the current MEMS-PLM.
- Projected scanning speeds exceeding 4000 points/s with state-of-the-art GPUs.
Conclusions:
- The developed beam steering framework offers a significant improvement in speed and flexibility over conventional methods.
- Real-time CGH generation and adaptive control enable efficient, targeted laser scanning for various applications.
