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- Article name
- USE OF COMPUTER VISION AND MACHINE LEARNING METHODS FOR RECOGNIZING TECHNICAL REQUIREMENTS IN 2D DRAWINGS
- Authors
- Kondratyev S. E., , svyatoslav.kondratyev@mail.com, Dukhov Automatics Research Institute, Moscow, Russia
Ulyanin O. V., , ulianin@vnia.ru, Dukhov Automatics Research Institute, Moscow, Russia
Abakumov Е. M., , evmadakumov@rosatom.ru, State Atomic Energy Corporation Rosatom, Moscow, Russia
- Keywords
- automatic 2D drawing verification / recognizing technical requirements / OCR / OpenCV / PLM
- Year
- 2021 Issue 2 Pages 35 - 43
- Code EDN
- Code DOI
- 10.52190/2073-2597_2021_2_35
- Abstract
- The article describes a way to create a software package that enables to automatically review the technical requirements in electronic two-dimensional drawings. The methods of computer vision and machine learning are used, which demonstrate greater flexibility and better generalization ability compared to standard programs, where each particular case requires additional processing.
- Text
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