The use of technical vision in flexible production systems to determine coordinates of randomly located objects

Authors

  • Konstantin Vasilyevich Averkov Omsk State Transport University, Omsk, Russia
  • Dmitriy Sergeyevich Makashin Omsk State Technical University, Omsk, Russia

DOI:

https://doi.org/10.25206/1813-8225-2023-186-60-66

Keywords:

flexible production system, industrial robot, technical vision, object recognition, object coordinates, orientation of the grip

Abstract

The article is devoted to the development of an object recognition algorithm using technical vision using Python and the OpenCV computer vision library. The article presents a program that allows you to set the coordinates of an object arbitrarily located in the field of view of the camera, as well as determine its orientation. This data will allow you to perform an effective capture of the object by the grip of the manipulator. In modern mechanical engineering, tasks of this kind are quite relevant, they make it possible to increase the autonomy of flexible production systems and make production safer.

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Author Biographies

Konstantin Vasilyevich Averkov, Omsk State Transport University, Omsk, Russia

Candidate of Technical Sciences, Associate Professor, Associate Professor of Technologies of Transport Engineering and Rolling Stock Repair Department, Omsk State Transport University (OSTU), Omsk.

Dmitriy Sergeyevich Makashin, Omsk State Technical University, Omsk, Russia

Candidate of Technical Sciences, Associate Professor of Metalcutting Machines and Tools Department, Mechanical Engineering Institute, Omsk State Technical University, Omsk; Associate Professor of Technologies of Transport Engineering and Rolling Stock Repair Department, OSTU, Omsk.

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Abstract views: 25

Published

2023-06-14

How to Cite

[1]
Averkov К.В. and Makashin Д.С. 2023. The use of technical vision in flexible production systems to determine coordinates of randomly located objects. Omsk Scientific Bulletin. 2(186) (Jun. 2023), 60–66. DOI:https://doi.org/10.25206/1813-8225-2023-186-60-66.

Issue

No. 2(186) (2023)

Section

Mechanical Engineering

License

Non-exclusive rights to the article are transferred to the journal in full accordance with the Creative Commons License BY-NC-SA 4.0 «Attribution-NonCommercial-ShareAlike 4.0 Worldwide License (CC BY-NC-SA 4.0»)

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