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相关概念视频

Confocal Fluorescence Microscopy01:16

Confocal Fluorescence Microscopy

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Confocal microscopy is an advanced microscopic technique. The prime advantage of the confocal microscope over other microscopy techniques is its ability to block the out-of-focus light from the illuminated samples using pinholes. It is widely used with fluorescence optics to obtain high-resolution, sharp contrast images. Unlike optical microscopes, confocal microscopes use a focused beam of light laser to scan the entire sample surface at different z-planes. These microscopes are, therefore,...
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相关实验视频

Updated: Jun 11, 2025

Subsurface Defect Localization by Structured Heating Using Laser Projected Photothermal Thermography
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Subsurface Defect Localization by Structured Heating Using Laser Projected Photothermal Thermography

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激光接过程中的透状态识别基于双阶段时间卷积网络的过程控制.

Zhihui Liu1,2, Shuai Ji2,3, Chunhui Ma4

  • 1Joint SDU-NTU Centre for Artificial Intelligence Research, School of Software, Shandong University, Jinan 250101, China.

Materials (Basel, Switzerland)
|September 28, 2024
PubMed
概括

这项研究引入了一种用于激光接控制的新深度学习方法,在识别接透方面达到98.96%的准确性. 该方法使用时间卷积网络进行精确的实时质量控制.

关键词:
图像处理是图像处理的过程.激光接 激光接 激光接接透监控监控 透监控接过程控制 接过程控制

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Surrogate Model Development for Digital Experiments in Welding
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Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
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Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

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相关实验视频

Last Updated: Jun 11, 2025

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科学领域:

  • 接质量控制的质量控制
  • 深度学习应用程序深度学习应用程序
  • 机器人自动化机器人自动化

背景情况:

  • 基于视觉的激光透控制对于接质量至关重要.
  • 深度学习模型面临的挑战是参数复杂性和用于透识别的长期信息.

研究的目的:

  • 开发一种有效的深度学习方法,用于在线激光接过程控制.
  • 为了提高激光接中的透识别精度和速度.

主要方法:

  • 开发了一个同轴视觉接监控系统.
  • 一个轻量级的细分模型与道修剪提取化池和钥匙孔功能.
  • 一个带有注意力机制的时间卷积网络被用于透识别.

主要成果:

  • 拟议的方法在透识别中实现了98.96%的准确性.
  • 平均推断速度为20.4毫秒,可实现实时控制.
  • 实验证明了从长图像序列和闭环控制中有效识别.

结论:

  • 开发的双阶段时间卷积网络方法准确地识别了激光接透.
  • 该系统可实现有效的在线过程控制,功率调节和稳定的接质量.