AI Interior Design Toolset for Product Sourcing and 3D Visualization
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Solution Overview
Problem
Interior design professionals face challenges in efficiently sourcing and selecting design products, measuring spaces, and scheduling installations, as existing systems lack advanced search capabilities, real-time collaboration tools, and streamlined project management.
Innovation Solution
A computer-implemented method using AI for product search, augmented reality for 3D model visualization, and dynamic scheduling, integrating with service providers for geographic proximity matching and automated project management, including image-based measurement and real-time project tracking.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional manual methods are used for sourcing and selecting design products, then professionals have full control over the selection process, but the sourcing time is excessive and efficiency is low
Solution Approach 1:
The patent replaces manual mechanical search methods with artificial intelligence-based automated search systems. The AI analyzes project requirements, extracts features from images, and automatically queries databases to identify suitable design products, eliminating the need for manual browsing and comparison of countless products.
Solution Approach 2:
The system enables self-service by allowing the AI to autonomously perform product research, selection, and specification gathering based on project inputs. The automated system independently completes tasks that traditionally required human designers to manually research and source products.
2Manufacturing precision
If detailed product specifications and multiple options are considered to enhance selection accuracy, then product selection quality improves, but the complexity of the selection process increases
Solution Approach 1:
The patent introduces an AI-based intermediary system that acts as a bridge between project requirements and product databases. This intermediary automatically interprets requirements, extracts relevant features from project images, queries multiple data sources, and filters products based on compatibility, simplifying the complex selection process while maintaining high accuracy.
Solution Approach 2:
The system performs preliminary actions by pre-processing project data, extracting features from images beforehand, and pre-filtering compatible products before the final selection is made. This preliminary processing reduces the complexity of the subsequent selection process by narrowing down options in advance.
3Productivity
If manual scheduling and coordination of service providers is performed, then flexibility in managing appointments is maintained, but the time and effort required for coordination increases significantly
Solution Approach 1:
The patent replaces manual scheduling mechanisms with automated digital systems. The system automatically matches service providers with projects based on geographic proximity and availability, manages appointment scheduling, and coordinates installation timelines without requiring manual intervention for each scheduling task.
Solution Approach 2:
The system implements feedback loops where service provider availability, project timelines, and installation schedules are continuously updated and communicated between all parties. The automated system monitors and adjusts schedules based on real-time information, ensuring coordination efficiency.
4Productivity
If traditional measurement methods are used for project areas, then measurement accuracy can be verified manually, but the time required for measuring and documenting dimensions increases
Solution Approach 1:
The patent replaces manual measurement tools and methods with automated image-based measurement systems. The AI processes project images to automatically extract dimensional information, calculate areas, and determine spatial relationships, eliminating the need for physical measuring tools and manual calculation.
Solution Approach 2:
The system creates digital copies of the project space from images, allowing measurements to be taken and documented in the digital model rather than requiring physical measurement of the actual space. This digital copying enables rapid, repeatable measurements without disturbing the project site.
Data Source
AI summary
Systems and methods for an interior design toolset are provided. The method includes receiving a search query for a first design product from a user; searching a database based on the search query using an artificial intelligence search to identify particular design products related to the first design product; searching the database to identify suggested design products based on data extracted from images of a project area; receiving user input selecting design products from 1) the particular design products and 2) the suggested design products; and displaying three dimensional (3D) models of the selected design products in a projection of the project area.