Custom-Fit Knitted Patterns From Digital Body Measurements
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Solution Overview
Problem
Existing garment and fabric-based article manufacturing methods lack customization to individual consumer needs, as they are often produced in standardized sizes that do not account for personal fit and shape variations, leading to inconsistent fit and comfort.
Innovation Solution
A process that uses digital representations of the object, optionally augmented by surface fitting algorithms, to extract measurements and adjust stitch counts for custom-fit knitted articles, allowing for user interaction to refine style and fit preferences, and generates machine instructions for computerized knitting machines to produce personalized articles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If standardized sizes and shapes are used for mass production, then productivity is improved, but fit and comfort for individual consumers deteriorate
Solution Approach 1:
The patent implements dynamic pattern generation where knitting patterns are automatically adjusted based on individual body measurements. The system transitions from static standardized patterns to dynamic customized patterns by scaling base patterns according to measured dimensions, allowing mass production efficiency while achieving custom fit accuracy for each consumer.
2Manufacturing precision
If custom measurements and digital representations are used, then fit accuracy is improved, but manufacturing complexity increases
Solution Approach 1:
The patent uses digital copying of body measurements to create accurate virtual representations of individual body shapes. By capturing and storing digital measurement data, the system can generate customized knitting patterns without requiring complex manual pattern-making processes for each customer, thus reducing manufacturing complexity while maintaining high fit accuracy.
Solution Approach 2:
The system adjusts knitting pattern parameters automatically based on measured body dimensions. By changing key parameters such as stitch counts, pattern scale, and garment dimensions proportionally based on measurement data, the system achieves custom fit without requiring complete redesign of patterns, thereby managing manufacturing complexity.
3Adaptability or versatility
If individual body measurements are collected and processed, then product customization is improved, but information processing requirements increase
Solution Approach 1:
The patent extracts only the essential measurement data needed for pattern generation from complete body scans. By identifying and extracting critical dimensional parameters (such as chest circumference, waist measurement, length) rather than processing all scan data, the system achieves effective customization while reducing information processing requirements and avoiding data overload.
Data Source
AI summary
Custom-fit versions of knitted articles are produced according to digital representations of objects for which the articles are to be manufactured. The digital representations, optionally augmented by surface fitting algorithms, allow for accurate scaling of pattern-specified stitch counts for pattern elements representing the article taking into account wales and courses densities for the material(s) from which the article is to be made. Displayed dimensionally-accurate representations of the custom-fit articles allow for user-specified style and fit preferences to be made and a final digital pattern of the article to be produced. Machine instructions representing pattern pieces to be knitted are automatically produced from the final digital pattern of the article for a target computerized knitting machine and the custom-fit article is then manufactured according to the machine instructions.