Offline Machine Vision in the Production Cell Control

Research Papers Faculty of Materials Science and Technology Slovak University of Technology Pub Date : 2019-09-01 DOI:10.2478/rput-2019-0020

M. Juhás, B. Juhásová, Pavol Reménység, R. Danel

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Abstract

Abstract The paper presents the possibility of using machine vision in the industrial area. The case study is oriented to indirect image processing in a robotic cell using a Matlab tool. Theoretical part of the contribution is devoted to the comparative analysis of various methods of the object detection and recognition. Analysis of the functionality, speed, performance and reliability of selected methods in the object detection and recognition area is processed. In the practical part, a method of implementing an indirect machine vision is designed to control the handling of objects detected and recognized on the basis of an operator requirement. Based on the analysis of the sample robotic workplace and the identified limitations, possibility of using the indirect computer vision is suggested. In such a case, the image of the workspace scene is saved on the storage and then processed by an external element. The processing result is further distributed in a defined form by a selected channel to the control component of the production cell.

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生产单元控制中的离线机器视觉

摘要本文介绍了机器视觉在工业领域应用的可能性。案例研究是面向在机器人单元使用Matlab工具的间接图像处理。理论部分的贡献是对各种目标检测和识别方法进行比较分析。分析了在目标检测和识别领域所选择方法的功能、速度、性能和可靠性。在实践部分，设计了一种实现间接机器视觉的方法，根据操作员的要求控制对检测和识别的物体的处理。通过对机器人工作场所样本的分析和识别出的局限性，提出了使用间接计算机视觉的可能性。在这种情况下，工作空间场景的图像保存在存储器中，然后由外部元素进行处理。处理结果进一步通过选定的通道以定义的形式分发到生产单元的控制组件。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Research Papers Faculty of Materials Science and Technology Slovak University of Technology

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