US 12,243,342 B2
Machine learning techniques for extracting floorplan elements from architectural drawings
Yan Fu, San Carlos, CA (US); Keith Alfaro, Brooklyn, NY (US); Manuel Martinez Alonso, Malaga (ES); Graceline Regala Amour, Boston, MA (US); and Simranjit Singh Kohli, Cambridge, MA (US)
Assigned to AUTODESK, INC., San Francisco, CA (US)
Filed by AUTODESK, INC., San Francisco, CA (US)
Filed on Nov. 8, 2021, as Appl. No. 17/521,774.
Claims priority of provisional application 63/112,063, filed on Nov. 10, 2020.
Prior Publication US 2022/0148327 A1, May 12, 2022
Int. Cl. G06V 30/422 (2022.01); G06V 30/184 (2022.01)
CPC G06V 30/422 (2022.01) [G06V 30/184 (2022.01)] 20 Claims
OG exemplary drawing
 
1. A computer-implemented method for extracting data from an architectural drawing, the method comprising:
performing one or more operations via one or more machine learning models to identify that at least a portion of the architectural drawing includes a first image of a floorplan area by determining that text extracted from the architectural drawing corresponds to at least one predetermined keyword associated with floorplans;
in response, extracting the first image of the floorplan area from the architectural drawing; and
generating a boundary segmentation based on the first image of the floorplan area, wherein the boundary segmentation includes one or more boundary types for one or more portions of the floorplan area.