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.
Smarter leaders trust GlobalData
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.
To know more about GlobalData’s detailed insights on Autodesk, buy the report here.
Data Insights
From
The gold standard of business intelligence.
Blending expert knowledge with cutting-edge technology, GlobalData’s unrivalled proprietary data will enable you to decode what’s happening in your market. You can make better informed decisions and gain a future-proof advantage over your competitors.
GlobalData, the leading provider of industry intelligence, provided the underlying data, research, and analysis used to produce this article.
GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
