System for Machine Analysis of Architectural Floor Plan Images Using Object Detection and Semantic Labeling
Summary
The USPTO published patent application US20260100064A1 by Mandal et al. covering a system and method for machine analysis of architectural floor plan images. The system uses an object detector to identify and classify objects in floor plans, a text analyzer to extract machine-readable text, a segmentation module to divide images into regions, and a semantic labeler to assign labels to each region based on combined object and text data. The application was filed June 4, 2025, and published April 9, 2026.
What changed
The USPTO published patent application US20260100064A1 on April 9, 2026, covering a system and method for machine analysis of architectural floor plan images using AI-based object detection, text extraction, segmentation, and semantic labeling. The system processes input floor plan images to output structured data about detected objects, extracted text, and semantically labeled regions.
Affected parties including software developers, architects, and technology companies working with computer vision for real estate or construction may wish to monitor this application's progress. Patent applicants and IP professionals should review the claims to assess potential overlap with existing or planned technologies.
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Archived snapshot
Apr 14, 2026GovPing captured this document from the original source. If the source has since changed or been removed, this is the text as it existed at that time.
METHOD FOR MACHINE ANALYSIS OF FLOOR PLAN IMAGES
Application US20260100064A1 Kind: A1 Apr 09, 2026
Inventors
Mrinal MANDAL, Naresh JHA, Zhongguo XU, Mehadi SAYED
Abstract
A system for processing an input architectural floor plan image is provided herein. The system includes a processor and a computer-readable medium with sequences of instructions that include an object detector to detect and classify a plurality of objects in an architectural floor plan image to output object data, a text analyzer to identify and extract text from the architectural floor plan image to output machine-readable text data, a segmentation module comprising a third set of sequences executed by the computer processor to divide the architectural floor plan image into at least one region, and a semantic labeler to determine 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 from the architectural floor plan image.
CPC Classifications
G06V 20/70 G06F 30/13 G06Q 30/0283 G06Q 50/08 G06T 7/11 G06V 10/764 G06V 10/82 G06V 30/10
Filing Date
2025-06-04
Application No.
19228092
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