Denim laundry equalizer and digital editing system thereof
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Solution Overview
Problem
Traditional denim fabric washing processes require physical treatment, leading to excessive design samples, human error, and increased costs due to manual adjustments, lacking consistency between digital design and physical production.
Innovation Solution
A denim laundry equalizer with a user interface and AI-driven synchronization model that allows users to adjust washing processes through sliders, predicting visual effects and ensuring consistency between digital and physical production.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If physical washing processes are used to achieve desired fabric effects, then the visual effects and styles can be determined, but excessive design samples are required and human error increases during manual adjustments
Solution Approach 1:
The patent creates a digital copy of the physical washing process through the synchronization model. The model learns the mapping between washing process parameters (enzyme wash, stone wash, bleaching, dyeing intensities) and resulting fabric visual effects by training on paired data from physical washing experiments. This digital twin allows virtual simulation of washing outcomes without requiring physical samples, eliminating manual adjustments while maintaining consistency.
Solution Approach 2:
The system performs preliminary digital simulation and prediction of washing effects before actual physical washing. By using the trained synchronization model to predict visual outcomes based on desired washing parameters, designers can pre-determine the appropriate washing process formulation digitally, avoiding the need for multiple physical design samples and manual trial-and-error adjustments.
2Adaptability or versatility
If manual adjustments are made during physical washing processes, then specific aesthetic effects can be achieved, but the likelihood of human error increases
Solution Approach 1:
The synchronization model incorporates feedback mechanisms by learning from paired data of washing process parameters and actual fabric visual effects. The model continuously refines its predictions by comparing predicted outcomes with actual results from physical washing, creating a closed-loop system that reduces human error while maintaining the ability to achieve diverse aesthetic effects through parameter adjustment.
3Adaptability or versatility
If multiple design samples are produced for different washing effects, then various aesthetic styles can be explored, but production costs and waste increase
Solution Approach 1:
The system replaces physical design samples with a digital synchronization model that can simulate any washing effect virtually. By training the model on a limited set of paired washing data, it can predict outcomes for numerous different washing scenarios without producing physical samples, thereby eliminating material waste while maintaining the ability to explore various aesthetic styles.
Solution Approach 2:
The system achieves variety in aesthetic effects by changing parameters in the digital model (enzyme wash intensity, stone wash intensity, bleaching intensity, dyeing intensity) rather than producing multiple physical samples. This allows unlimited exploration of aesthetic variations without additional material consumption or waste.
Data Source
AI summary
A denim laundry equalizer includes a user interface for receiving a editing command from users; a data input port for receiving an input data of the fabric; a data output port for outputting an output data of the fabric; a synchronization model for generating the output data of the fabric, based on the editing commands; wherein the output data is configured to form fabric visual effects matching the editing commands. The synchronization model allows for predictive modeling of denim fabric washing processes. This enables synchronization of the washing process formulations with a visualized digital model of the fabric, contributing to improved consistency, efficiency, and quality of the final product.