Building information model (BIM) element extraction from floor plan drawings using machine learning

A computer-implemented system for extracting building information model (BIM) elements for a floor plan drawing, comprising:

• (a) a computer having a memory;
• (b) a processor executing on the computer;
• (c) the memory storing a set of instructions, wherein the set of instructions, when executed by the processor cause the processor to perform operations comprising:
• (i) obtaining a raster image of the floor plan drawing;
• (ii) determining a design drawing area by parsing the raster image;
• (iii) extracting vectorized elements from the design drawing area;
• (iv) programmatically generating a synthetic floor plan design drawing dataset, wherein synthetic symbol labels, synthetic symbol locations, and synthetic symbol orientations of synthetic data in the synthetic floor plan design drawing dataset are known, and wherein the synthetic floor plan design drawing dataset is synthetic;
• (v) based on the vectorized elements and the synthetic floor plan design drawing dataset, detecting a symbol represented by the vectorized elements, wherein the symbol comprises a symbol label;
• (vi) determining, based on the synthetic floor plan design drawing dataset, an orientation of the detected symbol;
• (vii) based on the symbol label, fetching a building information model (BIM) element;
• and
• (viii) based on the symbol orientation, placing the BIM element in the floor plan drawing.