Résumé:
Adaptive optics (AO) is a crucial field in optics, requiring precise wavefront sensing. This paper presents a fast wavefront sensing solution based on AI4Wave, a patented technology for AI-based image-space wavefront sensing. AI4Wave eliminates dedicated sensors like Shack-Hartmann, using only a camera. This high-speed implementation leverages AI edge computing on an NVIDIA Jetson module. The system captures defocused images processed by a feedforward neural network (NN) trained exclusively on synthetic data. This enables real-time phase retrieval, overcoming Shack-Hartmann’s limitations and handling large wavefront errors. AI4Wave employs synthetic, normalized data, making it robust to optical layout changes. Using NVIDIA TensorRT and advanced AI edge computing, it achieves processing speeds of 1000 frames per second, supporting various optical setups. The deterministic feedforward NN approach ensures consistent results without iterative optimization. Preliminary tests show high accuracy and repeatability, with exposure times as short as 24 µs, capturing environmental perturbations. This provides a reliable, industrial-grade solution for high-speed wavefront sensing.
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