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一种双目视觉多目标分拣系统设计与测试
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2020年度广东省普通高校创新团队项目(2020KCXTD066);东莞市科技局特派员项目(20201800500072)


Design and Test of a Double Vision Multitarget Sorting System
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    摘要:

    针对人工包装USB组件效率低和分装错误率高的问题,开发一套集识别、选择和分选于一体的智能分拣系统。提出一种改进的分拣算法,利用边缘曲线等价方法确定工件形状,通过多目标形心图像区域分割快算方法确定各组件中心,采用Harris角点检测算法获取旋转角度。构建分选识别相机和旋转纠偏相机相结合的双目视觉智慧分选和包装模式。结果表明:最大旋转角度误差为0.75°,最大质心偏差为0.68 mm,测试成功率达99.5%以上,所构建的智能分拣系统对USB组件不同摆放位置模板匹配的误差和抓取误判率均满足设计要求。研究结果为智能化设备研究提供了参考。

    Abstract:

    Aiming at the problems of low efficiency and high packaging error rate of USB component for manual packaging connectors, an intelligent sorting system integrating identification, selection and sorting was developed. An improved sorting algorithm was proposed,in which edge curve equivalent method was used to determine the workpiece shape, multiobjective centroid image region segmentation method was used to determine the center of each component, and Harris corner detection algorithm was used to obtain rotation angle. A binocular vision intelligent sorting and packaging mode combining sorting identification camera and rotating correction correction camera was constructed. The results show that the maximum rotation angle error is 0.75°, the maximum centroid detection coordinate deviation is 0.68 mm, and the final test success rate is more than 99.5%. The constructed intelligent sorting system can meet the design requirements of matching error and grasping misjudgment rate of the template in different positions of USB components. The research results provide reference for the research of intelligent equipment.

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范四立,刘涛,梅阳寒.一种双目视觉多目标分拣系统设计与测试[J].机床与液压,2021,49(19):105-110.
FAN Sili, LIU Tao, MEI Yanghan. Design and Test of a Double Vision Multitarget Sorting System[J]. Machine Tool & Hydraulics,2021,49(19):105-110

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  • 在线发布日期: 2023-03-21
  • 出版日期: 2021-10-15
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