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基于VUE的智能采摘机器人前端开发框架研究

Research on Front End Development Framework of Intelligent Picking Robot Based on VUE

  • 摘要: 以智能采摘自动识别定位方式为研究对象,对葡萄自动采摘前端的图像采集和分析处理过程进行分析,利用VUE自底向上逐层构建的方式,设计一种能够对目标进行自动识别定位的智能采摘机器人识别定位算法。采用高清相机对采摘目标图像进行采集,将原始图像进行二值化处理,获取图像灰度等级,并采用葡萄图像分割的方式获取葡萄采摘点,最后通过最小角度拟合的方式确定葡萄果梗采摘点。试验结果表明:智能采摘机器人前端识别定位方法平均运行成功率高于90%,平均运行时间0.65s,能够快速准确地进行采摘对象识别定位,可为智能采摘机器人技术的推广提供理论基础。

     

    Abstract: This paper takes the automatic recognition and positioning of intelligent picking as the research object, analyzes the image acquisition and analysis process of the front-end of automatic grape picking, and designs an intelligent picking robot recognition and positioning algorithm which can automatically recognize and locate the target by using Vue bottom-up layer by layer. High definition camera is used to collect the picking target image, the original image is binarized to obtain the gray level of the image, and the grape picking point is obtained by the way of grape image segmentation.Finally, the picking point of grape stem is determined by the way of minimum angle fitting. The experimental results show that the average success rate of intelligent picking robot front-end recognition and positioning method is higher than 90%, and the average running time is 0. 65s, which can quickly and accurately identify and locate the picking objects,and provides a theoretical basis for the promotion of intelligent picking robot technology.

     

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