AI Spatial Annotation for Dynamic Building Design Plans
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Solution Overview
Problem
Existing annotation methods in design plans are static, lack dynamic integration with evolving designs, and require manual updates prone to errors and inefficiencies, especially in collaborative projects involving multiple stakeholders.
Innovation Solution
An AI-powered platform that intelligently links annotations to underlying design elements, automatically updating them in response to changes, facilitating real-time collaboration and accurate communication among stakeholders.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual annotation methods are used in design plans, then flexibility in annotation creation is maintained, but annotation accuracy and consistency deteriorate due to human error and lack of dynamic updates
Solution Approach 1:
The patent implements dynamic annotations that automatically update when design elements change. The system establishes bidirectional links between annotations and their associated design elements, enabling real-time synchronization. When a design element is modified, the annotation automatically adjusts its position, content, and references without manual intervention, transforming static annotation processes into dynamic adaptive systems.
Solution Approach 2:
The annotation system performs self-updating through automated detection of design element changes. The system monitors design plan modifications, identifies affected annotations, and automatically recalculates and repositions them. This self-service mechanism eliminates the need for manual annotation updates while maintaining high accuracy and consistency across the entire design document.
2Adaptability or versatility
If static annotation methods are used in design plans, then simplicity of implementation is maintained, but adaptability to design changes deteriorates requiring manual reannotation
Solution Approach 1:
The system establishes annotation-to-design-element linkages in advance, creating a structured relationship network before design changes occur. This preliminary structuring enables the system to automatically detect and respond to changes, as the pre-established connections allow for immediate identification of affected annotations when design elements are modified.
Solution Approach 2:
The patent implements a feedback mechanism where the system continuously monitors design element changes and automatically triggers annotation updates. The change detection system provides feedback to the annotation management module, which then adjusts annotations accordingly. This closed-loop feedback system ensures annotations remain synchronized with design elements without manual intervention.
3Productivity
If multiple stakeholders collaborate on design plans with separate annotation systems, then individual workflow independence is maintained, but collaboration efficiency and annotation consistency deteriorate
Solution Approach 1:
The patent creates a universal annotation framework that serves multiple stakeholders simultaneously. The system provides a common platform where architects, engineers, contractors, and other stakeholders can annotate the same design elements with consistent referencing. The unified system maintains individual user workflows while ensuring all annotations reference the same underlying design elements, eliminating conflicts and inconsistencies.
Solution Approach 2:
The system merges multiple stakeholder annotation systems into a single integrated platform. Instead of maintaining separate annotation systems for different users, the patent combines them into one unified system where all annotations are linked to the same design elements. This merging enables real-time collaboration while maintaining a consistent view of the design across all stakeholders.
Data Source
AI summary
Methods and apparatus for spatial annotation of design plans in an AI-powered collaborative environment. It includes a controller to receive a static representation of a building's design plan and an AI engine to analyze raster images to identify design elements such as architectural aspects, walls, and rooms. An interactive user interface generates polygons and lines representing these elements, allowing users to select elements for annotation. The apparatus determines positional coordinates of selected elements, links annotations to these coordinates, and updates the interface in real-time for multiple users. Additional features include automated annotation suggestions, user interaction options like commenting and approval, and learning from user interactions to enhance future annotations. The apparatus can detect physical changes in design elements using cameras and update the interface accordingly. It supports dynamic collaboration and enhances the accuracy and efficiency of design plan annotations.