GAN-Based Interior Design Recommendation via 3D Space Modeling
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Solution Overview
Problem
Existing online interior decoration platforms struggle to provide customized and efficient services, requiring users to invest significant time and resources in measuring spaces and consulting with professionals, often resulting in suboptimal results due to a lack of personalized recommendations and complex processes.
Innovation Solution
A method and device utilizing generative adversarial networks (GANs) and a terminal camera with a time-of-flight sensor to collect space data and user preferences, generating customized interior decoration designs and recommendations, integrated with a blockchain system for secure and transparent transactions, enabling users to select matching goods and services.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If users consult with interior decoration companies through traditional processes (booking consultation, measuring space, scheduling visits), then they receive professional interior decoration services, but the process requires considerable time and involves multiple steps including paid first consultations
Solution Approach 1:
The patent creates virtual copies of physical spaces using 3D modeling and augmented reality technology. Users can generate digital twins of their rooms and experiment with different furniture arrangements and decoration styles without physical visits, thereby reducing consultation time while maintaining service quality through virtual visualization
Solution Approach 2:
The patent replaces manual measurement and physical consultation processes with automated computer vision systems and AI-driven virtual design tools. The system automatically captures room dimensions through camera input and generates design recommendations algorithmically, eliminating the need for in-person measurements and reducing dependency on scheduled professional visits
2Ease of manufacture
If private persons carry out construction works for interior decoration themselves, then they can avoid company consultation fees, but it entails considerable waste of time, money, and property due to trial-and-error approach and requires various technological materials and tools
Solution Approach 1:
The patent enables users to perform preliminary design actions virtually before actual construction. Users can experiment with different design options, furniture placements, and material selections in a virtual environment, identifying potential issues and optimizing decisions before committing to physical changes, thereby reducing trial-and-error waste
Solution Approach 2:
The patent introduces an AI-based virtual design assistant as an intermediary between the user and the construction process. This intermediary provides expert guidance, automatically generates design recommendations, and helps users make informed decisions without requiring extensive knowledge of construction materials and tools, reducing the learning curve and potential mistakes
3Ease of operation
If existing online interior decoration platforms provide limited services such as examples of construction work, then they are easy to access, but it has become difficult to satisfy the growing range of customer requirements and choose an appropriate design for the target space
Solution Approach 1:
The patent transforms static design examples into dynamic, interactive virtual environments. Users can actively manipulate virtual furniture, change design parameters, and receive real-time feedback from the AI system, allowing the platform to adapt to individual user preferences and space characteristics while maintaining ease of access through web-based interfaces
Solution Approach 2:
The patent enables customized design solutions tailored to each specific space and user preference. The system analyzes individual room characteristics, user lifestyle requirements, and aesthetic preferences to generate personalized design recommendations, rather than providing generic one-size-fits-all examples, thereby enhancing service versatility while keeping the platform user-friendly
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This solution provides immediate, personalized interior decoration recommendations, reducing waste and time by analyzing user preferences and space atmospheres, facilitating access to suitable goods and services while ensuring compliance with laws and ordinances, and improving marketing data for continuous system improvement.
Implementation Method 1
a terminal camera with an embedded time-of-flight (ToF) sensor
Data Source
AI summary
The present invention provides an interior decoration recommendation service utilizing an algorithm based on artificial intelligence and a blockchain-based platform comprising the service. A multitude of interior decoration styles are recommended according to a range of themes using an algorithm based on generative adversarial networks (GANs). The goods and elements are immediately applied to the generated styles or the current styles of spaces are analyzed, and suitable interior decoration goods are automatically recommended.