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Orientation of Apples Using Their Inertial Properties

机译:苹果惯性特性的定位

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摘要

Machine vision has the potential to improve quality and safety of fruit available for consumption. However, lack of an effective and inexpensive method for appropriately orienting fruit for imaging has hindered development of optical technologies for sorting fruit. For example, it is difficult to differentiate stem and calyx regions from problem areas in images. One solution would be to orient fruit so that the location of these regions is known. We demonstrated that apples can be oriented using their inertial properties. Apples were rolled down two test tracks each consisting of two parallel wooden rails using 100 Red Delicious and 100 Golden Delicious apples with three initial orientations of the stem/calyx axis: perpendicular, parallel, or at 45� to the rails. As the apples progressed down the tracks, they generally moved to an "oriented" position where the stem/calyx axis was perpendicular to the direction of travel and parallel to the plane of the rails. A camera was used to create movies of the orientation process, and software was written to automatically analyze the movies. Apples started in a perpendicular position were de facto oriented. Apples started at 45� almost instantly became oriented. For the parallel condition, orientation was delayed and was successful in only about half of trials. However, theoretical dynamics suggest that parallel loading would be a low probability event in a commercial setting. Alternatively, potential methods for circumventing this problem case are discussed.
机译:机器视觉有可能提高可供食用的水果的质量和安全性。然而,缺乏有效且廉价的方法来适当地定向用于成像的水果已经阻碍了用于分选水果的光学技术的发展。例如,很难将茎和花萼区域与图像中的问题区域区分开。一种解决方案是使水果定向,以便知道这些区域的位置。我们证明了苹果可以利用其惯性特性进行定向。苹果使用100个Red Delicious和100个Golden Delicious苹果从茎/花萼轴的三个初始方向:垂直,平行或成45°的两个测试轨道上滚动下来,每个测试轨道由两个平行的木制轨道组成。当苹果沿着轨道前进时,它们通常会移动到“定向”位置,在此位置,茎/花萼轴垂直于行进方向并平行于轨道平面。使用照相机创建定向过程的影片,并编写软件以自动分析影片。苹果从垂直位置开始实际上是定向的。苹果从45岁开始。对于平行条件,定向被延迟,仅在大约一半的试验中成功。但是,理论动态表明,并行加载在商业环境中将是低概率事件。替代地,讨论了避免该问题情况的潜在方法。

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  • 来源
    《Transactions of the ASABE》 |2008年第6期|p.2073-2081|共9页
  • 作者单位

    The authors are Priya Narayanan, Graduate Student, Department of Mechanical Engineering, University of Maryland, Baltimore Country (UMBC), Baltimore, Maryland;

    Alan Marc Lefcourt, ASABE Member Engineer, Research Biomedical Engineer, USDA-ARS Henry A. Wallace Beltsville Agricultural Research Center, Beltsville, Maryland;

    Uri Tasch, Professor, Department of Mechanical Engineering, UMBC, Baltimore, Maryland;

    Rouben Rostamian, Professor, Department of Mathematics and Statistics UMBC, Baltimore, Maryland;

    and Moon S. Kim, Research Biophysicist, USDA-ARS Henry A. Wallace Beltsville Agricultural Research Center, Beltsville, Maryland. Corresponding author: Alan M. Lefcourt, USDA-BARC-ANRI-FSL, Building 303 Powder Mill Rd. - BARC East, Beltsville, MD 20705;

    phone: 301-504-8450;

    fax: 301-504-9466;

    e-mail: alan.lefcourt@ars.usda.gov.;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Apples, Machine vision, Orientation, Physical properties;

    机译:苹果;机器视觉;方向;物理性质;

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