Live Webinar in English language

AI-based drawing analysis – identify PMI, enrich 3D models, and find similar parts

“Making implicit information explicit: Turn drawing knowledge into digital value!”

Our specially trained AI analyzes technical drawings and unlocks the engineering and manufacturing knowledge they contain for digital use. The identified information is automatically assigned to the 3D model and can be used directly in downstream processes. At the same time, the extracted data enables new applications such as 2D similarity search, the reuse of existing designs, and the provision of standardized product information.

  • AI-supported recognition of tolerances, fits, and thread specifications
  • 2D similarity search based on technical drawings for the reuse of existing designs
  • Increase the accuracy of manufacturing cost calculations based on the CAD model
  • Automate feasibility analyses
  • Model-based definition: make manufacturing information digitally available and reusable
  • Create a consistent data foundation for end-to-end digital processes, including digital twins and STEP AP242
Two small round objects, a ruler, and a pencil are lying on a technical drawing.
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Webinar

DATE (in english language):

Wednesday, October 14, 2026, 6:00 AM PDT | 9:00 AM EDT | 3:00 PM CEST

Link to the recording (even if you did not participate)

TERMIN (auf deutsch):

Dienstag, 13.10.2026, 10:30-11:15

Link zur Aufzeichnung (auch bei Nicht-Teilnahme)

What you will learn in the webinar:

  • Which manufacturing information our AI identifies in technical drawings and automatically assigns to the 3D model

  • How 2D similarity search helps you efficiently reuse existing designs

  • What benefits enriched PMI data provides for cost estimation, model-based definition, and end-to-end digital processes

I look forward to welcoming you!

Daniel Alexander, sales engineer at simus systems

Daniel Alexander, Sales Engineer at simus systems

phone: +49 (721) 830843-16

Kalender IconWednesday, October 14, 2026

6:00 AM PDT | 9:00 AM EDT | 3:00 PM CEST

45 minutes

simus systems feature recognition from technical drawings using AI

simus systems feature recognition from technical drawings using AI

Does your 3D model lack critical manufacturing information?

simus classmate solves this challenge by unlocking valuable information from technical drawings for use in engineering, manufacturing, and end-to-end digital processes. The automated drawing analysis is based on artificial intelligence and consists of three steps:

  1. Analysis of the technical drawing to identify annotations
  2. Evaluation of dimensions and drawing data
  3. Assignment of the identified information to the corresponding surfaces of the 3D model

This creates an enriched 3D model containing important manufacturing information such as geometric tolerances, surface finishes, and thread specifications. As a result, a digital information base becomes available for downstream processes and provides an important building block for model-based definition.

In addition, the extracted information can be used for powerful 2D similarity searches. Existing parts and drawings can be identified and reused more quickly, helping to reduce search effort, avoid duplicate parts, and make better use of existing engineering knowledge.

The enriched information base also enables highly accurate cost estimation at an early stage of product development. Cost drivers become visible sooner, allowing optimization opportunities to be identified and leveraged early in the design process.

For end-to-end digital processes, the enriched PMI data can be provided in standardized formats and reused across downstream systems. This creates consistent product data for modern manufacturing environments, digital twins, and data exchange using formats such as STEP AP242.

The webinar will give you a non-binding overview of the functions of our drawing analysis. The webinar is free of charge.