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A ring sensor system for the determination of volume and axis measurements of irregular objects

机译:环形传感器系统,用于确定不规则物体的体积和轴尺寸

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摘要

In agriculture, a large variability of objects in a range of sizes and shapes is found, leading to problems in size grading. For example, for a low-cost product such as potatoes, the predominantly used mechanical size-determining systems have errors of up to 30% and can cause damage, but they are cheap and have a throughput up to 20 tonnes per hour. Alternatives which can guarantee an improvement in accuracy and a financial gain for the companies are required. In this paper methods for the determination of volume and axis measurements using a simple ring sensor system are described. A modified co-ordinate system and the segmentation of the area between the ring and the object are used. The volume determination is independent of the direction of presentation of the objects. For the determination of axes, the objects must be presented in the longitudinal direction to allow the use of simple 2D algorithms. The accuracy of the system depends both on the number of transmitters and receivers placed on the ring and on its diameter. A small ring sensor system was developed, which can scan 3D objects in real time (36000 potatoes, 3.6 tonnes per hour) with an accuracy of better than 5% for a volume larger than 100 cm↑(3).
机译:在农业中,发现各种尺寸和形状的物体变化很大,从而导致尺寸分级问题。例如,对于诸如土豆之类的低成本产品,主要使用的机械尺寸确定系统具有高达30%的误差并可能造成损坏,但它们很便宜,并且吞吐量高达每小时20吨。需要可以保证公司提高准确性和财务收益的替代方案。在本文中,介绍了使用简单的环形传感器系统确定体积和轴测量值的方法。使用修改后的坐标系和环与对象之间的区域分割。体积确定与物体呈现的方向无关。为了确定轴,必须沿纵向方向显示对象,以允许使用简单的2D算法。系统的精度取决于放置在环上的发射器和接收器的数量及其直径。开发了一种小型环形传感器系统,该系统可以实时扫描3D对象(36000个土豆,每小时3.6吨),对于体积大于100 cm↑(3)的精度优于5%。

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