Coating Surface Identification for Decor-Matched Paint Visualization
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Solution Overview
Problem
Existing methods for selecting paint colors are cumbersome and lack effective tools for matching or complementing colors with existing home décor, especially when visualizing paint colors on surfaces.
Innovation Solution
A computer system that analyzes a digital image of an environment to identify objects and surfaces, suggesting complementary or matching paint colors by integrating proposed colors and parsed objects into a modified digital image.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a customer uses conventional paint chip methods to select paint colors, then the selection process is simple, but the ability to visualize and match colors with existing home décor is poor
Solution Approach 1:
The system creates a digital copy of the physical environment by capturing an image and generating a 3D model of the room. This digital replica allows virtual application of paint colors to surfaces, enabling accurate visualization of how colors will appear in the actual space without physical trial-and-error.
Solution Approach 2:
The system transitions from 2D paint chips to 3D environmental modeling. By creating a three-dimensional representation of the room with accurate surface geometry and lighting, the system enables realistic color visualization that accounts for perspective, shadowing, and spatial relationships, providing a comprehensive viewing dimension.
2Measurement precision
If a customer takes a picture of an object to retrieve color data, then color matching to previously coated surfaces is improved, but the ability to visualize colors on multiple surfaces and integrate with overall décor is limited
Solution Approach 1:
The system serves multiple functions simultaneously: it extracts color data from identified objects, generates 3D models of all surfaces in the environment, and enables virtual paint application across multiple surfaces. This multi-functional approach allows comprehensive color exploration that integrates object matching with overall interior design visualization.
Solution Approach 2:
The system segments the environment into distinct surfaces and objects, identifying each separately while maintaining their spatial relationships. This segmentation allows independent color analysis of each surface while enabling integrated visualization, as each segmented element can be independently colored and viewed in context.
3Loss of time
If conventional paint selection methods are used, then the process is quick, but the comprehensiveness of color options and personalization is insufficient
Solution Approach 1:
The system automatically analyzes the captured image, identifies objects and surfaces, generates 3D models, and provides personalized color recommendations without requiring manual input. The system self-services the entire workflow from image capture to color suggestion generation, reducing user effort while increasing personalization through automated environmental analysis.
Solution Approach 2:
The system provides immediate visual feedback by displaying virtual applications of suggested colors on the 3D modeled surfaces. Users can see real-time color transformations and adjust selections based on this feedback, creating an iterative refinement process that personalizes results based on actual visual appearance rather than abstract color theory.
Data Source
AI summary
A computer system for dynamically parsing a digital image to identify coating surfaces can receive a user-provided input comprising an indication of a particular environment, and a user-provided digital image of an environment. The computer system can also identify, with an image recognition module, one or more objects within the user-provided digital image. Additionally, the computer system can create a modified digital image by parsing the identified objects from the user-provided digital image and identify surfaces within the modified digital image. The computer system can also identify a proposed color for the surfaces within the modified digital image and generate a colorized digital image by integrating the proposed color on at least one surface and integrating the parsed one or more objects in the modified digital image.