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相关实验视频

Updated: Jun 12, 2025

Fabrication and Characterization of Disordered Polymer Optical Fibers for Transverse Anderson Localization of Light
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基于计算机视觉的终端序列一致性验证方法,用于基于计算机视觉的小直径光纤.

Yan Wang1, Lei Wang1, Dalin Li1,2

  • 1College of Computer Science and Technology, Jilin University, Changchun 130012, China.

Heliyon
|September 23, 2024
PubMed
概括

本研究介绍了一种自动计算机视觉方法,用于验证工业设备中的光纤序列. 与手动方法相比,该系统实现了高精度,并显著提高了检查效率.

关键词:
在 Abreast 光纤光学纤维.自动检测自动检测自动检测计算机视觉 计算机视觉 计算机视觉终端序列一致性的一致性

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科学领域:

  • 工业自动化工业自动化
  • 光学通信系统 光学通信系统
  • 计算机视觉应用程序的应用程序

背景情况:

  • 精密工业设备中的高速通信依赖于直径小的光纤.
  • 端子上的光纤正确排列顺序对于遵守通信协议至关重要.

研究的目的:

  • 开发一个自动终端序列一致性验证方法,用于光纤.
  • 提高工业通信系统的检查速度和准确性.

主要方法:

  • 利用计算机视觉技术进行序列验证.
  • 采用色调和值 (HSV) 颜色空间,以改善图像特征提取.
  • 为协议逻辑映射开发了一套与光纤序列相关的字典.
  • 实现了一个光控制遮光器位置自适应算法,用于精确的事件光控制.

主要成果:

  • 每50秒完成一次光纤导电性检查.
  • 达到超过96.5%的检查准确度.
  • 与手动检查相比,检查效率提高了45%.

结论:

  • 拟议的计算机视觉方法提供了一种高效和准确的解决方案,用于与光纤终端序列验证保持一致.
  • 该系统提高了检查速度和准确性,这对于保持精密工业设备的通信完整性至关重要.