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Software solution for Testing Image Processing Algorithm on Conveyor-Based Vision Systems

机译:基于输送机的视觉系统测试图像处理算法的软件解决方案

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Vision systems have been used in many applications that intends to reduce the need for human operators. This is especially true for tasks that are simple but repetitive in nature, which is largely applicable to most manufacturing and agriculture's post-harvest processes. Many such processes utilize conveyor-based systems where the objects being processed are placed on a conveyor belt that runs through multiple processing stations. Implementing a vision system to capture images of an object that is moving usually requires setting up an imaging device to a working conveyor system. Getting a working conveyor system to be ready can take some time and consequently delay development work on the vision system itself, especially those involving image processing algorithms. This paper proposes a software solution that can be used to expedite initial work on such systems. The solution is written in C and is therefore easily ported to any development machine. A basic image processing library has also been developed so that it does not depend on any development library or suite, which is usually huge in size. Thus, the solution can easily be compiled and run on embedded development boards like Raspberry Pi - for a more portable solution.
机译:在许多旨在减少对人类运营商需求的许多应用中使用了视觉系统。对于简单而重复的任务尤其如此,这在很大程度上适用于大多数制造和农业的收获后流程。许多这样的过程利用基于传送带的系统,其中处理的物体放置在通过多个处理站运行的传送带上。实现视觉系统以捕获正在移动的对象的图像通常需要将成像装置设置为工作传送系统。获取工作传送系统准备就绪可能需要一些时间,因此延迟了视觉系统本身的开发工作,尤其是涉及图像处理算法的开发工作。本文提出了一种软件解决方案,可用于加快在此类系统上的初始工作。解决方案是用C写入的,因此容易移植到任何开发机器。还开发了一个基本的图像处理库,以便它不依赖于任何开发库或套件,通常尺寸巨大。因此,可以轻松编译解决方案并在像覆盆子PI等嵌入式开发板上运行 - 用于更便携的解决方案。

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