Construction & Manufacturing AI Optimizes the Processing of Technical Drawings

From University of Applied Sciences Kempten | Translated by AI 1 min Reading Time

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The IDF—Institute for Data-Optimized Manufacturing at Kempten University of Applied Sciences is launching the research project CAD-Istency, an initiative to automate the processing of 3D models and technical drawings. By utilizing data-centric neural networks, manufacturing companies are to be strengthened in their competitiveness.

The CAD-Istency project focuses on intelligent data processing for the manufacturing industry.(Image: freely licensed /  Pixabay)
The CAD-Istency project focuses on intelligent data processing for the manufacturing industry.
(Image: freely licensed / Pixabay)

The CAD-Istency project aims to extract essential manufacturing specifications, particularly geometric and positional tolerances, from hard-to-machine-readable technical drawings and store them as Product Manufacturing Information directly in the 3D model. This is intended to improve data consistency, allowing companies to handle their design and manufacturing data more efficiently.

Another central aspect of the project is the development of a consistency check between technical drawings and 3D models. Here, artificial intelligence acts as a bridge between the technical drawing and the 3D model by automatically detecting discrepancies, thus optimizing the maintenance of large component data inventories. Additionally, relevant key figures are to be generated, which, among other things, describe the impact of certain processes on the component price.

So far, technical drawings still convey essential manufacturing information that needs to be manually extracted. This makes the digitization and automation of the process chain impossible. With the developed solution, significant cost advantages will therefore arise for our Bavarian companies.

Professor Dr. Frank Schirmeier, Project manager

About the Project

  • The scientific direction of the project is led by Professor Dr. Frank Schirmeier.

  • As an industry partner, Easy2Parts GmbH supports the project with its expertise in digital manufacturing.

  • The research project CAD-Istency will run until December 31, 2027, and is funded by the Bavarian State Ministry for Economic Affairs, Regional Development and Energy. The financing is provided under the announcement "Artificial Intelligence - Data Science".

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