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RESEARCH ON ROBOTIC FEEDING SYSTEM BASED ON MACHINE VISUAL POSITIONING AND TRACKING

机译:基于机器视觉定位和跟踪的机器人馈电系统研究

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Feeding desiccant or deoxidant into food can is a common production process in food manufacture industry. To meet the demand of automatic feeding process, the industrial robot with the machine visual positioning and tracking system which guides the robot to accurately grasp the packet of desiccant or deoxidant on the conveyor through coordinate transformation in real-time is introduced. The machine visual tracking system consists of two parts: machine visual positioning and linear tracking. First, the image processing methods, including preprocessing, segmenting, edge detecting, edge fitting and corner and center point extracting, are adopted to determine the position and orientation of the desiccant or deoxidant packet on the conveyor. And then the linear tracking technique informs the robot of the distance the packet moves along the conveyor. The position of the food can on the conveyor is also obtained by the linear tracking technique, which allows the robot to feed the packet into the food can in motion accurately. This robotic feeding system has been applied into the albumen powder production which is verified to be accurate, high-speed and high reliability.
机译:将干燥剂或脱氧剂喂养成食物可以是食品制造业的常见生产过程。为了满足自动进料过程的需求,工业机器人具有机器的视觉定位和跟踪系统,它引导机器人准确地抓住输送机上的干燥剂或脱氧剂,通过实时坐标变换。机器视觉跟踪系统由两部分组成:机器视觉定位和线性跟踪。首先,采用图像处理方法,包括预处理,分割,边缘检测,边缘配件和角θ提取,以确定输送机上干燥剂或脱氧包的位置和取向。然后,线性跟踪技术向机器人通知分组沿传送器移动的距离。食物可以在输送机上的位置也通过线性跟踪技术获得,这使得机器人可以精确地将包裹送入食物中。该机器人馈电系统已被应用于蛋白粉末生产,该产品被验证准确,高速和高可靠性。

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