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Offline Machine Vision in the Production Cell Control

Author

Listed:
  • Juhás Martin
  • Juhásová Bohuslava
  • Reménység Pavol

    (Slovak University of Technology in Bratislava, Faculty of Materials Science and Technology in Trnava, Institute of Applied Informatics, Automation and Mechatronics, Ulica Jána Bottu Č. 2781/25, 917 24 Trnava, Slovak Republic)

  • Danel Roman

    (Institute of Technology and Business in České Budějovice, Faculty of Technology, Department of Mechanical Engineering, Okružní 517/10, 370 01 České Budějovice, Czech Republic)

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.

Suggested Citation

  • Juhás Martin & Juhásová Bohuslava & Reménység Pavol & Danel Roman, 2019. "Offline Machine Vision in the Production Cell Control," Research Papers Faculty of Materials Science and Technology Slovak University of Technology, Sciendo, vol. 27(45), pages 7-18, September.
    • Handle: RePEc:vrs:repfms:v:27:y:2019:i:45:p:7-18:n:2
    DOI: 10.2478/rput-2019-0020
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