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Orienting apples for imaging using their inertial properties and random apple loading

机译:利用苹果的惯性和随机苹果载荷对苹果进行成像

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The inability to control apple orientation during imaging has hindered the development of automated systems for sorting apples for defects such as bruises and for safety issues such as faecal contamination. Recently, a potential method for orienting apples based on their inertial properties was discovered. To test this method, apples were rolled down a track consisting of two parallel rails. As angular velocity increased, apples generally moved to an orientation where the stem/calyx axis was parallel to the plane of the track and perpendicular to the direction of travel. However, theoretical analyses and experimental results have demonstrated that select initial loading conditions could prevent or impede this orientation process. In this study, the practical importance of initial loading conditions was tested using two different methods to randomly load apples onto a track. Replicate tests indicated that successful orientation at rates of about 80% for Red and Golden Delicious cultivar apples was random, and that only 5% of the apples exhibited undesirable loading condition and orientation. Results suggest that a commercially viable orientation system could be developed by recycling apples that are not oriented during imaging, and that it should be possible to improve single-pass orientation rates by addressing track compliance and loading velocity issues.
机译:在成像过程中无法控制苹果方向阻碍了自动系统的发展,该系统用于对苹果进行分类以查找诸如瘀伤和粪便污染等安全问题。最近,发现了一种潜在的基于苹果惯性特性的定向方法。为了测试该方法,将苹果从由两个平行轨道组成的轨道上滚下来。随着角速度的增加,苹果通常移至茎/花萼轴平行于轨道平面并垂直于行进方向的方向。但是,理论分析和实验结果表明,选择初始加载条件可能会阻止或阻碍该定向过程。在这项研究中,使用两种不同的方法将苹果随机装载到轨道上,测试了初始装载条件的实际重要性。重复测试表明,红色和金色美味品种苹果以约80%的成功定向成功是随机的,只有5%的苹果表现出不良的负载条件和定向。结果表明,可以通过回收在成像过程中未定向的苹果来开发商业上可行的定向系统,并且应该有可能通过解决轨道顺从性和装载速度问题来提高单程定向率。

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