AI-Generated Parametric Apparel Formulas for Diverse Body Fits
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Solution Overview
Problem
The apparel industry faces challenges in creating garments that fit a diverse range of body types accurately and efficiently, with manual processes leading to inefficiencies, high costs, and unsatisfied consumer demands due to non-scalable sizing systems and lack of interoperability between design platforms.
Innovation Solution
A system and method using machine learning and artificial intelligence to generate parametric formulas for apparel patterns, automating the pattern adaptation process, enhancing interoperability, and integrating advanced AI to create scalable, accurate, and efficient design and manufacturing processes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If manual pattern generation and grading rules are used, then designers can create base patterns for different markets, but the process becomes labor-intensive, error-prone, and time-consuming
Solution Approach 1:
The patent replaces manual mechanical pattern generation and grading processes with an automated AI-based system. The AI model automatically generates parametric formulas and adjusts patterns for different markets and body types, eliminating the need for manual pattern making and reducing human error in the process.
Solution Approach 2:
The system enables self-service pattern adaptation where the AI model automatically adjusts patterns based on input parameters such as body measurements and market requirements. The parametric formulas allow the system to self-adjust and generate customized patterns without requiring manual intervention for each size and market variation.
2Productivity
If linear standard sizing systems are used, then apparel can be produced efficiently, but the system cannot account for unique variations in individual body shapes and leads to ill-fitting garments
Solution Approach 1:
The patent introduces parametric formulas that allow continuous adjustment of pattern dimensions based on specific body measurement parameters. Instead of fixed linear sizes, the system uses variable parameters (such as bust, waist, hip measurements) to dynamically generate precise pattern dimensions that fit individual body shapes while maintaining production efficiency through automation.
Solution Approach 2:
The system transitions from static linear sizing to dynamic parametric sizing where patterns can be automatically adjusted in real-time based on input body measurements. The AI model dynamically generates and modifies pattern dimensions to accommodate unique body variations, enabling both precision fitting and efficient production through automated adaptation.
3Manufacturing precision
If manual pattern adjustment for each individual is performed, then custom fit can be achieved, but the process is not scalable for mass production and increases production costs
Solution Approach 1:
The patent replaces manual individual pattern adjustment with an automated AI-based system that processes body measurements and generates customized patterns automatically. The system can handle large volumes of individual customization requests simultaneously, making mass production scalable while maintaining precise fit for each individual through automated parametric calculation.
4Adaptability or versatility
If complete pattern redevelopment is performed for each geographic region, then local market requirements can be met, but the process is time-consuming and prevents agile design response
Solution Approach 1:
The system creates a universal base pattern with embedded parametric formulas that can be pre-configured for different markets. The AI model automatically applies market-specific adjustments (such as regional body type variations) to the base pattern, eliminating the need for complete redevelopment and enabling rapid adaptation to new markets while maintaining local relevance.
Data Source
AI summary
Ways for automating the generation of a parametric formula utilizing machine learning and artificial intelligence (AI) are provided. The system converts an image and measurement into interoperable design options, and includes a processor, a memory, a receiving module to receive the image and measurement corresponding to the image, a conversion module to analyze the image and measurement, an AI module to identify a pattern feature, a generation module to generate a parametric formula that receives a parametric input, a validation module to validate for accuracy and precision, an analysis module to structure measurement and parametric formula templates into parametric formulas, an application interface module to display and deliver the design option, and a manufacturing module to export the parametric formula to a manufacturing instruction. The parametric formula accommodates a wide range of body measurements, improving design efficiency, reducing manual steps, and enabling seamless integration across diverse design and manufacturing platforms.