Spatial Color Recommendation Using Object Relation Analysis
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Solution Overview
Problem
Users often choose colors for products that do not harmonize with their existing space, leading to dissatisfaction, and existing technologies lack effective methods to analyze and recommend suitable color schemes for interior spaces.
Innovation Solution
An electronic device and method that utilize a processor to analyze spatial images, extract color and relation information, apply it to an AI model to estimate color combination scores, and provide color recommendation information based on these scores.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If users choose colors for products based on personal preference, then product selection is simple and quick, but the color harmony with existing space deteriorates
Solution Approach 1:
The system performs preliminary analysis of the spatial image to extract existing color information before the user makes a product selection. By pre-processing the spatial environment data and preparing color recommendation based on extracted color characteristics, the system enables users to make informed decisions quickly without compromising color harmony
Solution Approach 2:
The color recommendation system acts as an intermediary between the user's personal preference and the spatial color harmony requirements. It processes both the existing space colors and user preferences, then provides recommended colors that satisfy both constraints, resolving the contradiction between ease of selection and color harmony accuracy
2Device complexity
If existing technologies provide color selection without spatial analysis, then the system complexity is low, but the color recommendation accuracy deteriorates
Solution Approach 1:
The system segments the complex color recommendation task into distinct modules: spatial image acquisition, color information extraction, color characteristic analysis, and recommendation generation. Each module handles a specific aspect of the problem, making the overall system more manageable while achieving high accuracy through specialized processing at each stage
Solution Approach 2:
The system transforms the spatial image data into color space parameters, extracts color characteristics as quantitative parameters, and uses these parameters to generate color recommendations. By converting visual information into measurable parameters and applying mathematical models for color harmony evaluation, the system achieves high measurement precision without excessive complexity
3Measurement precision
If the system analyzes spatial images to extract color information, then color recommendation accuracy is improved, but the processing time increases
Solution Approach 1:
The system extracts only the essential color information from spatial images, focusing on key color characteristics rather than processing all image data. By selectively extracting color features and using them for recommendation, the system achieves high color extraction accuracy while minimizing processing time through targeted analysis
Data Source
AI summary
An electronic device comprises a processor configured to: obtain a spatial image comprising a plurality of pixels corresponding to a plurality of objects, perform a pixel analysis on the plurality of pixels to extract one or more colors from the spatial image, obtain, based on the extracted one or more colors, color characteristic information about colors included in the plurality of objects in the spatial image and relation characteristic information defining relations between the plurality of objects in the spatial image, obtain, by applying the color characteristic information and the relation characteristic information to a first artificial intelligence model, a score of a color combination between each of the colors included in the plurality of objects in the spatial image and an arbitrary color, and provide color recommendation information with respect to a space comprising the plurality of objects, based on the score of the color combination.