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基于设置的摄像机部署方法的实际应用.

Edward Parrott1, Joshua K Pickard2, Rickey Dubay1

  • 1Department of Mechanical Engineering, University of New Brunswick, Fredericton, NB E3B 5A3, Canada.

Sensors (Basel, Switzerland)
|January 11, 2024
PubMed
概括
此摘要是机器生成的。

本研究提出了一种新的方法,用于找到所有可能的摄像头位置,用于自动化机器视觉检查. 它确保了完整的零件覆盖,并为工业制造提供实用,可部署的解决方案.

关键词:
先进制造制造业的制造业是先进的制造业.摄像机模型 摄像机模型约束的满足度 约束的满足度智能检查 智能检查 智能检查时间间隔分析 时间间隔分析质量检查质量检查检查

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科学领域:

  • 机器人和自动化机器人与自动化
  • 计算机视觉 计算机视觉
  • 工业制造业 工业制造业 工业制造业

背景情况:

  • 自动化机器视觉系统对于工业制造中的质量控制至关重要.
  • 确定全面检查的最佳摄像头位置是一个复杂的挑战.

研究的目的:

  • 开发一种方法来解决连续集的摄像机部署解决方案.
  • 为了生成一个完整和可认证的所有有效的摄像头姿势集,用于工业检查.

主要方法:

  • 建模摄像头及其内在参数,以产生现实的约束.
  • 使用基于集合的解决方法来评估3D零件模型上的约束.
  • 使用真实相机和3D跟踪设备进行实验验证.

主要成果:

  • 为给定相机/部件对生成一个完整的所有有效相机姿势集.
  • 每个姿势的可检测表面积都被量化.
  • 解决方案准确地与现实世界成像结果保持一致.
  • 证明了对现实几何形状的有形,可部署的检查解决方案的生成.

结论:

  • 该方法提供了一种可认证的方法来解决用于自动检查的摄像机部署问题.
  • 产生的解决方案是实用的,并且可以很容易地集成到工厂设置中.
  • 这项工作推进了工业制造业中自动化机器视觉的能力.