Custom-Knitting System for Automated Garment Production
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Solution Overview
Problem
The garment industry faces challenges in producing custom-fit knit clothing due to high costs and limited availability from tailors, and the complexity of knit garment production limits volume production of customized items that fit individual sizes and preferences.
Innovation Solution
A custom-knitting system that generates and stores custom apparel patterns based on user-provided information, using automated knitting machines to produce garments of precise shape, leveraging computer technology and machine learning algorithms to optimize pattern generation and sharing of data for improved efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If tailors manually fabricate custom-fit clothing, then the clothing fits individual body types well, but the cost is high and production quantity is limited
Solution Approach 1:
The system enables self-service custom apparel production by allowing customers to input their own body measurements and preferences, which are then automatically processed by the knitting machine to generate and produce custom-fit garments without requiring manual tailoring services
Solution Approach 2:
The patent replaces the manual mechanical system of tailors taking measurements and hand-crafting garments with an automated computer-controlled knitting machine system that digitally processes measurements and automatically knits custom-fit apparel according to generated patterns
2Productivity
If automated knitting machines are used for custom apparel, then productivity increases, but the complexity of managing yarn characteristics, wales and courses per inch, and knit patterns increases
Solution Approach 1:
The knitting machine system is designed to handle multiple yarn types, patterns, and specifications through a single integrated platform, allowing it to universally process various knit apparel requirements while maintaining automated custom-fit production capabilities
Solution Approach 2:
The system manages knitting complexity by dynamically adjusting parameters such as wales and courses per inch, yarn characteristics, and knit patterns through software control, allowing the machine to adapt to different garment requirements without manual intervention
3Productivity
If generic sizes are used, then production cost decreases and availability increases, but the fit quality for individual body types deteriorates
Solution Approach 1:
The system performs preliminary action by having customers input their body measurements before production begins, allowing the system to pre-calculate and generate custom patterns specific to each individual's body type before the knitting process starts
Data Source
AI summary
Apparel patterns may be generated as a function of custom apparel information provided by a user, such as one or more measurements, colors, etc., such that the user can have apparel custom-knitted to their particular size and shape without having to acquiesce the high expense and long wait times typically associated with custom-fit clothing. After a custom apparel pattern is generated, a custom-knitted article can be manufactured based on the pattern by transmitting appropriate information to a knitting machine. Data produced while generating custom apparel patterns can be stored and used to optimize and improve the manufacturing of customized knitwear for subsequent users. Further, such data can be shared with third parties such that manufacturers or others can utilize one or more beneficial aspects of the present disclosure without having to implement all of the functionality that would otherwise be required to obtain such benefits.