Autodesk had seven patents in digitalization during Q4 2023. Autodesk Inc’s patents filed in Q4 2023 focus on a method and system for extracting building information model (BIM) elements from floor plan drawings, as well as a method and system for managing data through property sets and commit graphs. The first patent involves detecting symbols in a floor plan drawing and placing corresponding BIM elements, while the second patent involves creating property sets, commit graphs, and change sets to track changes in data states. GlobalData’s report on Autodesk gives a 360-degreee view of the company including its patenting strategy. Buy the report here.
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Autodesk grant share with digitalization as a theme is 42% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Building information model (BIM) element extraction from floor plan drawings using machine learning (Patent ID: US20230409771A1)
Autodesk Inc. has filed a patent for a method and system that streamline the extraction of building information model (BIM) elements for floor plan drawings. The process involves determining a design drawing area, extracting elements, obtaining a synthetic floor plan design dataset with known labels and locations, detecting symbols, fetching BIM elements, and placing them in the drawing. The method includes steps such as removing gridlines and background elements, segmenting the image, grouping elements, and filtering based on bounding box size.
The system consists of a computer with memory and a processor executing instructions to perform operations like obtaining the design drawing area, extracting elements, obtaining a synthetic dataset, detecting symbols, fetching BIM elements, and placing them in the drawing. Additional features include training a symbol orientation model, presenting the drawing with BIM elements, receiving user feedback for model retraining, and utilizing machine learning models for symbol detection and model updates. The system aims to enhance the efficiency and accuracy of extracting BIM elements from floor plan drawings through a systematic workflow involving image processing, data synthesis, and machine learning techniques.
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