Interactive Product Customization Through 3D Object Models
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current technologies limit users' ability to customize products by only offering basic options like color and size, preventing complex modifications such as shape, dimensions, and textures, and require expert input for functional validation, leading to inefficient customization processes.
Innovation Solution
An object modifying system using Generative Adversarial Networks (GAN) to generate interactive 2D, 3D, or holographic displays, allowing users to interact with objects through finger or voice inputs, track interactions with wearable devices, and analyze preferences to recommend modifications, ensuring structural integrity and durability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If basic customization options (color, size) are offered, then ease of manufacture is improved, but adaptability or versatility deteriorates
Solution Approach 1:
The patent uses 2D and 3D copying technology to create virtual replicas of products that can be extensively modified without affecting physical manufacturing. Users can copy a product design and modify it in virtual space, then send the modified design to manufacturers. This allows unlimited adaptability in the customization interface while manufacturers only need to produce based on the final specified parameters, maintaining ease of manufacture.
Solution Approach 2:
The patent introduces an intermediary system (the customization interface with 2D/3D technology) between the user and the manufacturing process. This intermediary allows users to explore extensive customization options visually and interactively, while the system translates these into manufacturable specifications. The intermediary decouples the user experience of adaptability from the manufacturing complexity.
2Adaptability or versatility
If complex modifications (shape, dimensions, textures) are enabled, then adaptability or versatility is improved, but device complexity worsens
Solution Approach 1:
The patent replaces complex mechanical customization systems with information-based 2D and 3D visualization and interaction systems. Instead of requiring physical prototypes or complex mechanical adjustments, the system uses digital models that can be modified through software interfaces. This substitution dramatically reduces device complexity while enabling extensive adaptability in shape, dimensions, and textures.
Solution Approach 2:
The patent transitions from traditional 1D or 2D product representations to immersive 3D and potentially higher-dimensional virtual environments. This dimensional enhancement allows users to interact with and modify product parameters from multiple angles and perspectives simultaneously, achieving high adaptability through a more expressive interface rather than through complex mechanical means.
3Reliability
If expert input is required for functional validation, then reliability is improved, but productivity deteriorates
Solution Approach 1:
The patent implements self-service functionality where the system automatically validates product modifications for structural integrity and functional requirements. The customization interface includes built-in validation algorithms that check modified parameters against engineering constraints, automatically flagging issues without requiring expert review. This maintains reliability through automated quality control while dramatically improving productivity by eliminating manual expert validation steps.
Solution Approach 2:
The patent incorporates real-time feedback mechanisms in the customization interface that immediately inform users when their modifications violate functional or structural requirements. The system provides automated feedback on parameter validity, suggesting corrective adjustments, and ensuring design integrity throughout the customization process. This feedback loop maintains reliability while enabling rapid iterative customization without expert intervention.
Data Source
AI summary
A processor may receive an object dataset based on an object. The processor may generate an interactive model of the object to display to a user using the object dataset. The processor may receive an interaction dataset associated with the user interacting with the interactive model. The processor may analyze the interactive data to identify one or more modifications to the one or more parameters of the object, based on the user interacting with the interactive model.