Autodesk. has been granted a patent for a method and system that enhances the searchability of computer-aided design (CAD) drawings. The process involves extracting geometric entities, creating a feature coordinate system, encoding geometry data into index codes, and visually distinguishing identified instances of target entities within the CAD drawing. GlobalData’s report on Autodesk gives a 360-degree view of the company including its patenting strategy. Buy the report here.
According to GlobalData’s company profile on Autodesk, AI assisted CAD was a key innovation area identified from patents. Autodesk's grant share as of June 2024 was 63%. Grant share is based on the ratio of number of grants to total number of patents.
Searching cad drawings using indexed geometric entities
The granted patent US12045284B2 outlines a computer-implemented method and system for efficiently searching computer-aided design (CAD) drawings. The method begins with obtaining a CAD drawing that includes vector-based geometric entities. For each geometric entity, the process involves extracting primitives, creating a graph to represent the geometric entity and its primitives, and establishing a feature coordinate system. The method further includes transforming the primitives into uniform sizes within the feature coordinate system, encoding the geometry data into index codes, and generating an index table that links these codes to graph nodes. The search for a target geometric entity is conducted by querying the index table, allowing for the visual identification of instances of the target entity within the CAD drawing.
The patent also details specific techniques for creating the feature coordinate system, such as acquiring vertices from the primitives, constructing a minimum bounding sphere, and determining the axis using principal component analysis (PCA). The encoding process involves generating a 64-bit binary feature code. Additionally, the method accommodates both single and composite target geometric entities, with a structured search path that includes multiple steps to identify relevant geometric entities. The search process incorporates criteria for size and rotation verification, ensuring that potential candidate entities meet the necessary specifications. This comprehensive approach enhances the efficiency and accuracy of searching within CAD drawings, making it a significant advancement in the field of computer-aided design.
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