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3D vision-guided robot cuts chicken fillets

机译:3D视觉引导机器人切割鸡柳

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Cutting chicken fillets from a carcass is a repetitive and tedious task that engineers at SINTEF have automated using a robotic 3D vision system called the Gribbot. The system features a robot arm from Denso Robotics, a Kinect 2 camera from Microsoft and a compliant gripper. The Kinect 2 features an infrared 1080p wide-angle time of flight sensor that achieves a frame rate of 30 fps and a monochrome CMOS sensor that captures video data. Programming the robotic vision system was performed using LabVIEW from Na- tional Instruments and Denso's robotics software. In operation, a rotating transport system is used to present the carcass to the Kinect camera. The 3D camera scans the carcass and localizes the gripping point-where the gripper should start the scrapping as part of cutting the chicken fillet from the carcass. "Machine vision makes the entire procedure adaptive as it allows us to localize the gripping point of the fillet independently of the variations in size," says Ekrem Misimi, Research Scientist at SINTEF Trondheim, Norway.
机译:从car体上切下鸡柳是一项重复而乏味的任务,SINTEF的工程师已使用称为Gribbot的机器人3D视觉系统实现了自动化。该系统具有Denso Robotics的机械臂,Microsoft的Kinect 2摄像头和兼容的夹具。 Kinect 2具有红外1080p广角飞行时间传感器(可实现30 fps的帧速率)和单色CMOS传感器,可捕获视频数据。使用National Instruments的LabVIEW和Denso的机器人软件对机器人视觉系统进行编程。在操作中,旋转运输系统用于将尸体呈现给Kinect相机。 3D摄像机扫描scan体并确定抓取点的位置,在此抓取器应开始抓取,作为从of体切下鸡柳的一部分。挪威特隆赫姆SINTEF研究科学家Ekrem Misimi表示:“机器视觉使整个过程具有适应性,因为它使我们能够独立于大小的变化来定位鱼片的抓紧点。”

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    《Vision Systems Design》 |2015年第2期|6-6|共1页
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