AI Pixel Analysis for Building Plan Compliance

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Solution Overview

Problem

Traditional methods for analyzing design plans in construction and architecture are labor-intensive, prone to errors, and lack the precision needed for detailed segment-specific analysis and accurate cost estimation, with existing CAD software tools falling short in providing the required granularity and precision.

Innovation Solution

An AI-driven system that conducts pixel-level analysis of user-selected segments in two-dimensional design plans, extracting comprehensive data on architectural features, including segment-specific details, counts, material lists, and labor costs, using an AI engine that leverages machine learning and deep learning techniques to enhance precision and efficiency.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If manual examination and interpretation of design blueprints is used, then human judgment and flexibility are maintained, but the process becomes labor-intensive and time-consuming

Engineering Contradiction:
ImproveHuman judgment capabilityVSAvoidAnalysis speed
Core Design Contradiction:
Ease of operationVSProductivity

Solution Approach 1:

The patent replaces manual mechanical examination with an automated computer-based system that uses image processing and machine learning algorithms to analyze design plans, thereby substituting human labor with automated computational methods while maintaining analysis capability

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system creates digital copies of design plans and processes these copies through automated algorithms, allowing multiple analyses to be performed on replicated data without requiring repeated manual examination of the original documents

Inventive Principle:
Principle #26Copying

2Extent of automation

If conventional CAD software tools are used for automation, then some degree of automation is achieved, but the required granularity and precision for detailed segment-specific analysis is not met

Engineering Contradiction:
ImproveAutomation levelVSAvoidSegment-specific analysis precision
Core Design Contradiction:
Extent of automationVSMeasurement precision

Solution Approach 1:

The patent divides the design plan into multiple segments or regions of interest, allowing automated analysis to be applied to specific portions of the overall design with high precision, enabling detailed segment-specific examination that conventional tools cannot provide

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The system applies different analysis methods and precision levels to different segments of the design plan based on their specific requirements, allowing high-precision analysis where needed while maintaining overall automation across the entire document

Inventive Principle:
Principle #3Local quality

3Extent of automation

If existing algorithmic approaches are used for design plan analysis, then some automation is provided, but comprehensive data extraction and analysis at a granular level is not delivered

Engineering Contradiction:
ImproveData extraction automationVSAvoidDetailed information completeness
Core Design Contradiction:
Extent of automationVSLoss of information

Solution Approach 1:

The system performs preliminary processing of the design plan by converting it to a standardized digital format and pre-identifying key features and elements before the main analysis phase, enabling more comprehensive and accurate data extraction in subsequent processing steps

Inventive Principle:
Principle #10Preliminary action

Data Source

PatentUS20250209223A1Artificial intelligence determination of compliance aspects of a building plan
Publication Date: 2025.06.26 CODE COMPLY AI CORP
  • US20250209223A1 patent drawing
  • US20250209223A1 patent drawing
  • US20250209223A1 patent drawing

AI summary

Methods and systems employing artificial intelligence for efficient data extraction and analysis for a user-defined design plan segmentation. The method enables users to select specific segments within two-dimensional design plans, thereby triggering an AI engine to execute pixel-pattern analysis on the chosen segments. This process facilitates the extraction of comprehensive data related to code set forth by an authority having jurisdiction. Additionally, the invention includes methods for component searching within the design plans using symbols or polygon shapes selected by users, involving pixel-level analysis to identify matching dynamic components within the design plans.