The use of technical vision in flexible production systems to determine coordinates of randomly located objects
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 we...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Omsk State Technical University, Federal State Autonoumos Educational Institution of Higher Education
2023-06-01
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| Series: | Омский научный вестник |
| Subjects: | |
| Online Access: | https://www.omgtu.ru/general_information/media_omgtu/journal_of_omsk_research_journal/files/arhiv/2023/%E2%84%962%20(186)%20(%D0%9E%D0%9D%D0%92)/60-66%20%D0%90%D0%B2%D0%B5%D1%80%D0%BA%D0%BE%D0%B2%20%D0%9A.%20%D0%92.,%20%D0%9C%D0%B0%D0%BA%D0%B0%D1%88%D0%B8%D0%BD%20%D0%94.%20%D0%A1..pdf |
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| Summary: | 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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| ISSN: | 1813-8225 2541-7541 |