Textile Joining Pattern Generation for Automated Damage Repair
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Solution Overview
Problem
The textile industry faces challenges in efficiently repairing damaged products, leading to waste and pollution, with existing methods being labor-intensive and lacking scalability.
Innovation Solution
A computer-implemented method generates a joining pattern for textiles using image analysis and machine learning to identify damaged areas and textile structures, enabling automated repair processes with sewing or embroidery machines.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual methods are used to identify and repair damaged textile portions, then repair quality can be maintained, but productivity is low and the process cannot be scaled to industrial levels
Solution Approach 1:
The patent replaces manual visual inspection and mechanical repair operations with an automated system using image analysis technology and machine learning models to identify damaged portions and generate joining patterns, enabling industrial-scale textile repair while maintaining quality
Solution Approach 2:
The system enables the textile repair process to be self-directed through automated damage detection and pattern generation, where the machine independently identifies required portions and creates repair patterns without continuous human intervention, thereby increasing productivity
2Productivity
If automated image analysis and machine learning models are used to identify damaged portions and generate joining patterns, then productivity and scalability are improved, but device complexity increases
Solution Approach 1:
The system employs a multi-functional integrated approach where a single automated device performs image acquisition, damage identification using machine learning, textile structure analysis, and joining pattern generation, reducing the need for multiple separate systems while maintaining high productivity
Solution Approach 2:
The system creates a digital copy of the textile surface through image analysis, allowing virtual identification of damaged portions and generation of repair patterns before physical repair, thereby simplifying the overall process control while increasing throughput
3Manufacturing precision
If image analysis technology and machine learning models are implemented, then repair precision and adaptability to individual damages are improved, but measurement and detection difficulty increases
Solution Approach 1:
The patent replaces complex manual inspection processes with automated image analysis technology and machine learning models that can accurately detect and measure damaged portions, textile structures, and required coverage areas, thereby improving pattern accuracy while the system handles the detection complexity
Solution Approach 2:
The system transforms physical textile damage characteristics into digital image parameters that can be analyzed by machine learning models, enabling precise identification of damaged portions and generation of accurate joining patterns through parameter-based analysis rather than manual measurement
Data Source
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AI summary
The present invention relates to a computer-implemented method and a device for generating a joining pattern for a textile based on an image of the textile, the method comprising the steps of acquiring an image of a portion of the textile via a camera device; identifying a required portion of the textile being required to be covered by the joining pattern, wherein said identifying is performed using an image analysis technology, a machine learning model trained to recognize the required portion, or from manual input by a user in a man-machine interface; identifying a textile structure of the textile from the acquired image by an image analysis technology, a machine learning model trained to recognize textile structures of textiles, or from manual input by a user in a man-machine interface; and generating the joining pattern based on the required portion of the textile, and the identified textile structure wherein the joining pattern is adapted to cover at least the required portion of the textile.