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Fast and Reliable Alternative to Encoder-Based Measurements of Multiple 2-DOF Rotary-Linear Transformable Objects Using a Network of Image Sensors with Application to Table Football

机译:使用图像传感器网络对桌上足球进行基于二维编码的多个2-DOF旋转线性可变换物体的基于编码器的测量的快速可靠的替代方案

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摘要

Simultaneous determination of linear and angular positions of rotating objects is a challenging task for traditional sensor applications and a very limited set of solutions is available. The paper presents a novel approach of replacing a set of traditional linear and rotational sensors by a small set of image sensors. While the camera’s angle of view can be a limiting factor in the tracking of multiple objects, the presented approach allows for a network of image sensors to extend the covered area. Furthermore, rich image data allows for the application of different data processing algorithms to effectively and accurately determine the object’s position. The proposed solution thus provides a set of smart visual encoders emulated by an image sensor or a network of image sensors for more demanding spatially distributed tasks. As a proof of concept, we present the results of the experiment in the target application, where a MP image sensor was used to obtain sub-degree angular resolution at 600 rpm and thus exceeding the design parameters and requirements. The solution allows for a compact, cost-effective, and robust integration into the final product.
机译:对于传统的传感器应用,同时确定旋转物体的线性和角位置是一项艰巨的任务,并且只能提供非常有限的解决方案。本文提出了一种新颖的方法,可以用一小组图像传感器代替一组传统的线性和旋转传感器。虽然摄像机的视角可能是跟踪多个物体的限制因素,但本文提出的方法允许使用图像传感器网络来扩展覆盖区域。此外,丰富的图像数据允许应用不同的数据处理算法,以有效,准确地确定物体的位置。因此,所提出的解决方案提供了一组智能视觉编码器,这些图像编码器由图像传感器或图像传感器网络模拟,用于更苛刻的空间分布任务。作为概念证明,我们介绍了目标应用中的实验结果,其中使用MP图像传感器以600 rpm的速度获得亚度角分辨率,因此超出了设计参数和要求。该解决方案允许将紧凑,经济高效且强大的功能集成到最终产品中。

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