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Lateral Optical Sensor With Slip Detection for Locating Live Products on Moving Conveyor

机译:具有滑动检测功能的侧向光学传感器,用于在移动的输送机上定位带电产品

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This paper presents a method to determine the 2-D profile and motion of a live product (such as chicken for poultry meat processing) on a moving conveyor from a lateral optical sensor that consists of an orthogonal pair of line array (LA) scanners. Unlike most line array (LA) scanners designed to provide a 2-D image of a static object, the lateral optical sensor presented here offers a practical means to detect object slippage on the conveyor in real time. Three examples are given to illustrate the effectiveness of this sensing method. The first simulates the 2-D boundary of a geometrically well-defined object on an accelerating conveyor, which offers intuitive insights on the effects of conveyor dynamics and object slippage on the accuracy of the 2-D boundary measurement. The second experimentally demonstrates the extendibility of LA sensors to detect both engineering and natural objects. The final example illustrates the application of the lateral optical sensor as a real time feedback sensor for active singulation of natural objects.
机译:本文提出了一种方法,该方法可以从由正交线对(LA)扫描仪对组成的横向光学传感器确定移动输送机上的活产品(例如用于禽肉加工的鸡肉)的二维轮廓和运动。与设计用于提供静态物体的二维图像的大多数线阵列(LA)扫描仪不同,此处介绍的横向光学传感器提供了一种实用的方法,可实时检测物体在输送机上的滑动。给出了三个例子来说明这种检测方法的有效性。第一种方法模拟了加速输送机上几何形状明确定义的对象的二维边界,从而直观地了解了输送机动力学和对象滑动对二维边界测量精度的影响。第二个实验证明了LA传感器可检测工程物体和自然物体的可扩展性。最后一个例子说明了横向光学传感器作为实时反馈传感器对自然物体进行主动分割的应用。

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