目的 为解决工业机械臂远程监测中信息不直观、交互性弱的问题,旨在开发一套基于增强现实的实时监测系统,以实现虚拟信息与真实机械臂的精准叠加与融合,提升运维效率。方法 采用ORB算法进行图像特征点的快速提取与匹配,并结合LK光流法提升跟踪鲁棒性。通过分析相机成像模型与坐标系转换关系,求解相机位姿,完成三维跟踪注册。最终将机械臂末端工具的虚拟模型叠加至真实视频流中,实现了虚实融合的增强效果。结论 该技术方案有效提升了监测的直观性与交互性,为工业设备智能化运维提供了可靠的技术支持,达到了预期研究目标。
Abstract
To address the issues of non-intuitive information and weak interactivity in the remote monitoring of industrial manipulators, the work aims to develop a real-time monitoring system based on augmented reality to achieve precise superimposition and integration of virtual information with the real manipulators, thereby enhancing operation and maintenance efficiency. The ORB algorithm was adopted for rapid extraction and matching of image feature points, and combined with the LK optical flow method to improve tracking robustness. By analyzing the conversion relationship between camera imaging model and coordinate system, the camera pose was solved to complete three-dimensional tracking registration. Finally, the virtual model of the manipulator's end tool was superimposed onto the real video stream, achieving an augmented reality effect of virtual and real integration. This technical solution effectively enhances the intuitiveness and interactivity of monitoring, providing reliable technical support for the intelligent operation and maintenance of industrial equipment, and achieving the expected research goals.
关键词
增强现实 /
三维注册 /
特征匹配
Key words
augmented reality /
3D registration /
feature matching
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