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Triple stereo vision system for safety monitoring of human-robot collaboration in cellular manufacturing

机译:三层立体视觉系统,用于在蜂窝制造中的人体机器人合作安全监测

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In a close proximity of a human-robot collaboration production system, safety monitoring has a paramount importance to ensure the human operator is being well protected throughout the collaborative operation with the robot manipulator. Due to the requirement to allow overlapping of working envelopes between these two parties, physical separation or two-dimensional sensory system is not effective as the safety measure for the production system. In the early development, safety monitoring by stereo vision system with two cameras was introduced to track the human operator's motion throughout the operation. Camera is used to capture images for tracking of color areas on the human operator. The image coordinates by particle filter and human body model are combined to estimate the 3D positions for the human motion monitoring. However, several weaknesses were observed in this development. For instance, due to the fixed camera viewing direction, occlusion of the detecting areas can severely affect the effectiveness of the safety monitoring. Therefore, one additional camera is added into the system to produce three pairs of stereo vision to improve the robustness towards lost tracking and occlusion tolerance. Hand position tracking experiment is conducted to evaluate the performance of the 3D position estimation.
机译:在人机协作生产系统的近距离接近,安全监测对确保人工操作者在整个与机器人操纵器的协作操作中受到良好保护的重要性。由于要求允许在这两个方面的工作包络重叠,物理分离或二维感觉系统作为生产系统的安全措施无效。在早期的发展中,引入了具有两个相机的立体视觉系统的安全监测,以跟踪人类运营商整个操作的运动。相机用于捕获图像以跟踪人类操作员上的颜色区域。通过粒子滤波器和人体模型的图像坐标组合以估计人类运动监测的3D位置。然而,在这一发展中观察到了几种弱点。例如,由于固定摄像机观察方向,检测区域的遮挡可能严重影响安全监测的有效性。因此,将一个额外的相机添加到系统中以产生三对立体视觉,以改善损失跟踪和遮挡容差的鲁棒性。进行手部位置跟踪实验以评估3D位置估计的性能。

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