DOI: 10.18413/2518-1092-2024-9-3-0-6

APPROACH TO VECTORIZATION OF DRAWINGS OF DESIGN DOCUMENTATION ON PAPER

Oleg Olegovich Basov
Oleg Dmitrievich Demin
Dmitry Aleksandrovich Noskov

The work proposes a solution to the problem of vectorization and machine interpretation of drawings of design documentation on paper, which provides the ability to automate the transfer of images of products, parts and assembly units into CAD systems. A number of neural network architectures have been proposed for detecting and recognizing the main elements of a drawing (frame, title block, specification, views, projections and sections), inscriptions, dimension and extension lines, as well as primitives that directly describe the product. For hierarchical and interconnected vectorization, a mechanism for semantic segmentation of drawings based on a graph neural network is proposed. The results of the implementation of the main stages of solving the problem of vectorization of design drawings are presented.

Keywords: design documentation, drawing, product, vectorization, graph neural network, deep reinforcement learning.

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Basov O.O., Demin O.D., Noskov D.A. Approach to vectorization of drawings of design documentation on paper // Research result. Information technologies. – Т.9, №3, 2024. – P. 55-62. DOI: 10.18413/2518-1092-2024-9-3-0-6

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