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Structured Light Stereo Vision System Coupled with Laser Remanufacturing Robot

机译:结构化光立体视觉系统加上激光再制造机器人

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In vision system of laser remanufacturing robot, binocular stereovision system combining structured light technique is used, Which applies to measure Laser Remanufacturing workpieces. The vision system which includes two cameras, a laser balopticon and a computer is fitted on the bottom of the robot, and its position is controlled by robot teach pedant. The image collected by cameras is transferred to a computer. Calibration and matching is the key to the work of the visual system. Calibration, including camera calibration and robot hand-eye calibration, is completed by MATLAB programming. The method of combining structured light with binocular stereo vision system is studied: let line structured light scanning the surface of the work piece, collect image, extract sub-pixel center of structured light by gravity algorithm and complete the image matching by epipolar geometry constraint relations. The process can be completed by MATLAB. The results of the 3D measurements of the work piece show that the system can make the robot recognize the defects and the shape of the work piece automatically, so that the vision system can satisfy the requirements auto-detection remanufacturing.
机译:在激光再制造机器人的视觉系统中,使用配合结构光技术的双目立体宽度系统,其适用于测量激光再制造工件。包括两个摄像机,激光Balopticon和计算机的视觉系统安装在机器人的底部,其位置由机器人教导储存。由摄像机收集的图像被传送到计算机。校准和匹配是视觉系统工作的关键。 Matlab编程完成校准,包括相机校准和机器人手眼校准。结构光与双目立体视觉系统相结合的方法进行了研究:让线结构光扫描工件,收集图像,结构化的光的提取物的子像素中心通过重力算法的表面并完成对极几何约束关系图像匹配。该过程可以由Matlab完成。工作部件的3D测量结果表明,该系统可以使机器人自动识别工件的缺陷和形状,使得视觉系统可以满足自动检测再制造的要求。

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