AI Fabric Imaging for Remote Textile Specification
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Solution Overview
Problem
Clothing designers face challenges in collaborating remotely due to the unavailability of physical fabric samples, and manufacturer-provided descriptions lack specificity, leading to difficulties in understanding fabric attributes and their compatibility for final products.
Innovation Solution
A system that captures fabric images, analyzes features like threads and stitch types, and generates a digital build specification using artificial intelligence, enabling remote construction and storage in a database for collaborative design and manufacturing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If physical fabric samples are used for design collaboration, then designers can directly view and discuss fabric attributes, but remote collaboration becomes difficult when samples are not physically available
Solution Approach 1:
The patent creates digital copies of physical fabric samples through high-resolution imaging and AI analysis. The system captures images of fabric samples and generates digital representations including stitch parameters, yarn characteristics, and weave patterns. These digital copies can be shared and viewed remotely, eliminating the need for physical sample circulation while preserving all fabric attribute information.
Solution Approach 2:
The patent introduces a digital fabric library and AI analysis system as an intermediary between physical fabric samples and designers. This intermediary system processes physical samples into standardized digital formats with detailed attribute data, enabling remote access and collaboration without direct physical contact with the samples.
2Quantity of substance
If manufacturer-provided fabric descriptions are used, then basic fabric information is available, but the descriptions lack specificity and consistency across different manufacturers
Solution Approach 1:
The patent transforms fabric description from generic manufacturer-provided text to specific quantifiable parameters. The AI system extracts precise measurements including stitch type, yarn diameter, thread count, weave angle, and other geometric parameters. This parameter transformation enables consistent, objective comparison across different manufacturers while maintaining comprehensive information availability.
Solution Approach 2:
The patent segments fabric information into distinct, standardized attribute categories such as stitch parameters, yarn characteristics, weave structure, and surface properties. This segmentation allows each attribute to be independently measured and described with high precision, eliminating the vague combined descriptions typically provided by manufacturers.
3Adaptability or versatility
If different manufacturers use different nomenclature for fabric attributes, then each manufacturer can describe their materials uniquely, but designers cannot easily compare or understand how different materials work together
Solution Approach 1:
The patent creates a universal fabric description standard that can represent any fabric type from any manufacturer. The AI system maps diverse manufacturer-specific terminologies to a common set of geometric and structural parameters. This universal framework maintains the ability to describe unique manufacturer characteristics while enabling consistent comparison and compatibility assessment across different material sources.
Data Source
AI summary
Disclosed herein are systems and methods that allow an image of a fabric sample to be captured. The image may be analyzed to extract features, sometimes referred to as a stitch parameter, of the fabric's construction, such the use of one or more stitch types. Using the stitch parameters, a build specification can be selected from a plurality of build specification. Each of the plurality of build specifications may be associated with at least one of a plurality of known fabric constructions. The build specification may be exported and then used to construct a fabric similar to the fabric sample captured in the received image.