An artificial vision solution for reusing discarded parts resulted after a manufacturing process

V. Cohal, A. Cohal
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Abstract

The profit of a factory can be improved by reusing the discarded components produced. This paper is based on the case of a manufacturing process where rectangular metallic sheets of different sizes are produced. Using an artificial vision system, the shapes and the sizes of the produced parts can be determined. Those sheets which do not respect the requirements imposed are labeled as discarded. Instead of throwing these parts, a decision algorithm can analyze if another metallic sheet with smaller dimensions can be obtained from these. Two methods of decision are presented in this paper, considering the restriction that the sides of the new sheet has to be parallel with the axis of the coordinate system. The coordinates of each new part obtained from a discarded sheet are computed in order to be delivered to a milling machine. Details about implementing these algorithms (image processing and decision respectively) in the MATLAB environment using Image Processing Toolbox are given.
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经过一个制造过程,产生了一种用于重复使用废弃零件的人工视觉解决方案
工厂的利润可以通过重复利用生产出来的废弃部件来提高。本文是基于一个制造过程的情况下,矩形金属板的不同尺寸的生产。利用人工视觉系统,可以确定所生产零件的形状和尺寸。那些不符合规定要求的纸张被标记为废弃。而不是扔掉这些零件,决策算法可以分析是否可以从这些零件中获得另一个较小尺寸的金属片。考虑到新薄片的边必须平行于坐标系的轴的限制,本文提出了两种判定方法。从废弃板材中获得的每个新零件的坐标都要计算,以便交付给铣床。给出了在MATLAB环境下使用图像处理工具箱实现这些算法(分别为图像处理和决策)的详细步骤。
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