Method for machine analysis of floor plan images

A computer-implemented method for processing an input architectural floor plan image to determine building parameters for the architectural floor plan, the method comprising:

• performing at least one object detection step on the architectural floor plan image for detecting and classifying a plurality of objects in the architectural floor plan image to output object data, the object data including object classes and object locations for the plurality of objects within the architectural floor plan image;
• performing at least one text analysis step for identifying and extracting text from the architectural floor plan image to output text data, the text data including textual content and textual content locations within the architectural floor plan image;
• performing at least one segmentation step for dividing the architectural floor plan image into at least one region;
• determining a semantic label for each region of the at least one region based, at least in part, on the object data and the text data;
• and
• quantifying the building parameters of the at least one region based on the semantic label of the at least one region.

A computer-implemented, deep-learning method for processing an input architectural floor plan image, the method comprising:

• executing a trained deep learning model to process the architectural floor plan image;
• performing, via the deep learning model, at least one object detection step on the architectural floor plan image for detecting and classifying a plurality of objects in the architectural floor plan image to output object data, the object data including object classes and object locations for the plurality of objects within the architectural floor plan image;
• performing, via the deep learning model, at least one text analysis step for identifying and extracting text from the architectural floor plan image to output text data, the text data including textual content and textual content locations within the architectural floor plan image;
• performing, via the deep learning model, at least one segmentation step for dividing the architectural floor plan image into at least one region;
• determining, via the deep learning model, a semantic label for each region of the at least one region based, at least in part, on the object data and the text data;
• and
• quantifying, via the deep learning model, the building parameters of the at least one region based on the semantic label of the at least one region.