Customized Garment Design Using 3D Body Scanning and Style Analysis
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Solution Overview
Problem
Current methods for customizing garments are time-consuming and inaccurate, as they require in-person tailoring or online ordering with limited style options and the need for precise body measurements, which can be inconvenient and inaccurate.
Innovation Solution
A system and method for generating customized garment designs by analyzing user style preferences and body characteristics, using a combination of user input, three-dimensional scanning, and algorithmic computation to create personalized designs with high affinity to the user's traits and current fashion trends.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If in-person tailoring is used to create customized garments, then the garment fit and customization quality are improved, but the time consumption and process complexity increase significantly
Solution Approach 1:
The patent replaces the mechanical manual measurement and tailoring process with an automated computer vision system using cameras and algorithms to detect body landmarks, calculate measurements, and generate garment patterns automatically, eliminating the need for in-person tailoring while maintaining measurement accuracy
Solution Approach 2:
The system creates a digital 3D model (virtual avatar) that copies and represents the user's actual body geometry, allowing garment design and fitting to be performed in the virtual space without physical interaction, thus saving time while preserving customization quality
2Ease of operation
If online custom garment ordering is used, then the convenience and time efficiency are improved, but the style options are limited and design quality deteriorates
Solution Approach 1:
The system performs preliminary automated analysis of user preferences, body characteristics, and fashion trends before garment creation, generating pre-configured design recommendations that guide the customization process and expand style options beyond what users could select manually
Solution Approach 2:
The system integrates multiple functions including body scanning, preference analysis, trend detection, automated design generation, and recommendation into a single unified platform, providing both convenience and extensive style versatility through one comprehensive service
3Loss of time
If self-measurement is used for online custom garment ordering, then the time and cost are reduced, but the measurement accuracy deteriorates significantly
Solution Approach 1:
The patent replaces manual self-measurement with an automated computer vision measurement system that uses camera-based body landmark detection and 3D reconstruction algorithms to obtain accurate body measurements without user involvement in the measurement process
Solution Approach 2:
The system introduces a virtual 3D avatar as an intermediary between the user's physical body and the garment design process, capturing accurate body geometry through photogrammetry and enabling precise measurements to be extracted from the digital model without manual measurement errors
4Adaptability or versatility
If traditional custom clothing manufacturing is used, then the garment personalization is improved, but the complexity of the customization process increases
Solution Approach 1:
The patent segments the complex customization process into distinct automated modules: body scanning/photogrammetry, body landmark detection, measurement calculation, preference analysis, 3D avatar generation, and pattern design, allowing each segment to be processed independently and automatically
Solution Approach 2:
The system implements automated feedback loops where user preferences, body characteristics, and fashion trends are continuously analyzed to refine and adjust garment design parameters, enabling high personalization through algorithmic optimization rather than complex manual iteration
Data Source
AI summary
Disclosed are methods and systems for generating a customized garment design. The method, when executed by a processor, comprises first retrieving a user signal about a user, identifying a user style comprising at least a preferred garment category for the user by analyzing the user signal, and retrieving a group of features for the preferred garment category, where each of the features is associated with at least one style variable. The method further comprises identifying at least one preferred style value for each of the style variables based on the user signal, generating one or more candidate garment feature sets by selecting one or more combinations of preferred style values for each style variable, and generating the customized garment design by selecting a garment feature set from the one or more candidate garment feature sets.