有效的摄像头姿势的合成,用于检查三角形面在3D网格中的三角形面
Edward Parrott1, Joshua K Pickard2, Rickey Dubay1
1Department of Mechanical Engineering, University of New Brunswick, Fredericton, NB E3B 5A3, Canada.
Sensors (Basel, Switzerland)
|September 28, 2023
概括
机器视觉自动化制造质量检查. 本研究引入了一种基于设置的新摄像机部署方法,确保视觉检查系统的可认证性能.
科学领域:
- 制造业自动化 制造业自动化
- 计算机视觉 计算机视觉 计算机视觉
- 机器人技术 机器人技术 机器人技术
背景情况:
- 由于其速度和一致性,机器视觉越来越成为制造质量检查的标准.
- 目前的摄像机部署方法缺乏严格的性能量化和认证.
- 现有的解决方案往往为工厂设置提供不切实际或无法实现的准确结果.
研究的目的:
- 提出一种用于视觉检查系统中的摄像机部署的新方法.
- 为了能够对系统性能进行严格的量化和认证.
- 通过提供实际解决方案来解决当前方法的局限性.
主要方法:
- 基于设置的方法用于合成摄像头姿势.
- 创建连续的姿势间隔来定义部署的可能性.
- 该方法侧重于可证明满足基于约束的绩效标准.
主要成果:
- 拟议的方法允许合成摄像机部署间隔.
- 它可以在这些间隔内证明满足性能标准.
- 这为现有的无法实现的精确解决方案提供了切实可行的替代方案.
结论:
- 开发的基于集的方法为机器视觉检查的摄像机部署提供了可认证的方法.
- 这项创新提高了制造业自动化视觉质量控制的可靠性和实用性.
- 它解决了在现实世界工厂环境中量化和认证系统性能方面的关键差距.
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