Real-time Detection and Auto focusing of Beam Profiles from Silicon Photonics Gratings using YOLO model

TL;DR

This paper presents a real-time auto-focusing system for silicon photonics light beams using a YOLO model, enabling automatic detection, measurement, and focusing of beams with high accuracy and confidence.

Contribution

The authors developed a YOLO-based auto-focusing system for silicon photonics beams, achieving high detection accuracy and enabling real-time beam analysis and focusing.

Findings

YOLO model achieves 99.7% classification accuracy.

High confidence level (>0.95) in beam detection.

Real-time beam detection and auto-focusing demonstrated.

Abstract

When observing the chip-to-free-space light beams from silicon photonics (SiPh) to free-space, manual adjustment of camera lens is often required to obtain a focused image of the light beams. In this letter, we demonstrated an auto-focusing system based on you-only-look-once (YOLO) model. The trained YOLO model exhibits high classification accuracy of 99.7% and high confidence level >0.95 when detecting light beams from SiPh gratings. A video demonstration of real-time light beam detection, real-time computation of beam width, and auto focusing of light beams are also included.