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Edge control approach based on image processing in paper and packaging production

机译:纸张和包装生产中基于图像处理的边缘控制方法

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摘要

Minimizing the losses that will occur in the production phase is a very important issue in industry. Many digital and electronic solutions are being used in the industry in order to prevent situations that may cause loss. If these solutions are dealt with in two steps, the first step is to determine the likely cause of the possible loss. The second step is to prevent problems by eliminating the fault in the determined case. Particularly in the packaging sector and the paper sector, slip and position changes that may occur during the flow through the conveyor belt before the raw mine is processed cause defects on the product. For this reason, it is very important for the industrial applications mentioned to be able to detect a possible slip situation and to be able to intervene quickly in order to eliminate this slip to avoid any malfunction. Highly efficient results can be achieved with image processing techniques to detect situations such as slippage of raw material flowing through the conveyor belt. In this study, an approach has been made to detect the amount of slip accurately using image processing based edge detection algorithms and to intervene with the help of stepper motors. The developed system in this study has been tested on different colored surfaces according to the sensitivity of the detection algorithm and the response speed of stepper motors. The developed image processing algorithm in this paper is implemented on an ARM based development card. The algorithm produces output according to the direction of the possible slip and applies force in the direction of the stepping motor slip due to the divided threads. Synchronization of processes in this study through threads has increased the reaction speed of stepper motors. The efficiency of detecting the amount of slippage of the algorithm developed in experimental data and the response speed of the stepper motor according to this proved itself.
机译:最小化生产阶段将发生的损失是工业中非常重要的问题。为了防止可能造成损失的情况,行业中使用了许多数字和电子解决方案。如果这些解决方案分两个步骤处理,则第一步是确定可能造成损失的原因。第二步是通过在确定的情况下消除故障来防止问题。特别是在包装部门和造纸部门,在处理未加工的矿山之前,在流过传送带的过程中可能发生打滑和位置变化,从而导致产品出现缺陷。因此,对于提及的工业应用来说,能够检测到可能的打滑情况并能够迅速进行干预以消除该打滑以避免任何故障,这一点非常重要。利用图像处理技术来检测诸如流经传送带的原材料打滑之类的情况,可以获得高效的结果。在这项研究中,已经采取了一种方法,该方法使用基于图像处理的边缘检测算法来准确检测滑移量,并在步进电机的帮助下进行干预。根据检测算法的灵敏度和步进电机的响应速度,本研究中开发的系统已在不同的彩色表面上进行了测试。本文中开发的图像处理算法是在基于ARM的开发卡上实现的。该算法根据可能打滑的方向产生输出,并由于螺纹分开而在步进电机打滑的方向上施加力。在本研究中,通过线程同步过程提高了步进电机的反应速度。实验数据证明了算法的滑移量的检测效率以及据此证明的步进电机的响应速度。

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