Hamid Nezamdoost, Kobra Soltanlou, Zahra Saeedian, Mohammad Karbaschi, Vahid Sepahvandi, Hamed Saghaei
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引用次数: 0
Abstract
This study introduces an artificial intelligence (AI)-based approach for high-precision alignment of Panda polarization-maintaining optical fibers. Using the YOLOv8 model for object detection, our method effectively aligns the slow axis of the Panda fiber with the edge of a pre-designed groove, which is essential for preserving polarization properties in optical communication and sensing applications. A 1000× microscope camera captures images of the fiber and groove, allowing the AI model to accurately detect the angle between the fiber’s slow axis and the groove edge. This angle information is then used to control a motor that rotates the fiber until alignment is achieved. Extensive experiments reveal that our system achieves an angular alignment error of < 2°, limited mainly by image quality and groove irregularities. This automated alignment system, driven by a deep learning model, offers significant improvements over traditional methods, optimizing alignment accuracy and operational efficiency and presenting new possibilities for the integration of AI in photonic device fabrication.
期刊介绍:
Optical and Quantum Electronics provides an international forum for the publication of original research papers, tutorial reviews and letters in such fields as optical physics, optical engineering and optoelectronics. Special issues are published on topics of current interest.
Optical and Quantum Electronics is published monthly. It is concerned with the technology and physics of optical systems, components and devices, i.e., with topics such as: optical fibres; semiconductor lasers and LEDs; light detection and imaging devices; nanophotonics; photonic integration and optoelectronic integrated circuits; silicon photonics; displays; optical communications from devices to systems; materials for photonics (e.g. semiconductors, glasses, graphene); the physics and simulation of optical devices and systems; nanotechnologies in photonics (including engineered nano-structures such as photonic crystals, sub-wavelength photonic structures, metamaterials, and plasmonics); advanced quantum and optoelectronic applications (e.g. quantum computing, memory and communications, quantum sensing and quantum dots); photonic sensors and bio-sensors; Terahertz phenomena; non-linear optics and ultrafast phenomena; green photonics.