Garment customization management system and data processing method thereof

By designing a clothing customization management system, using advanced data collection and processing technology and intelligent design algorithms, the measurement error, inaccurate design and low efficiency in traditional clothing customization are solved, and efficient and personalized clothing customization services are achieved.

CN119722232APending Publication Date: 2025-03-28XIAMEN KAIWEISI GARMENT CO LTD
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Patent Information

Application Number
CN202411796918.1
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-09
Publication Date
2025-03-28

AI Technical Summary

Technical Problem

Traditional clothing customization methods have problems such as measurement error, inaccurate design, low efficiency and inaccurate data processing, which is difficult to meet personalized needs and large-scale customized production.

Method used

Design a clothing custom management system, including client terminal module, data acquisition module, data processing module, intelligent design module, production management module and background management module, and realize accurate data acquisition, processing and intelligent design through 3D human scanning, wearable measurement, deep learning and collaborative filtering algorithm, K-means clustering algorithm, Z-score algorithm, Min-Max normalization and Gaussian filtering and other technologies.

Benefits of technology

It significantly improves the accuracy and efficiency of clothing customization, realizes the automated connection between personalized design and production, and solves the inefficiency and inaccuracy problems in traditional customization methods.

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Abstract

According to the garment customization management system and the data processing method thereof, high-precision and personalized garment customization is realized by integrating data acquisition, intelligent design and production management. The system comprises a client terminal module, a data acquisition module, a data processing module, an intelligent design module, a production management module and a background management module. 3D human body scanning and wearable equipment acquire body type data, and a data processing module performs cleaning, standardization and noise processing on the data to generate standardized data. And the intelligent design module generates a personalized design scheme and recommends the fabric based on deep learning and a K-means algorithm. And the production management module converts the design scheme into a production instruction and transmits the production instruction to production equipment in real time through an MQTT protocol, so that automatic production is realized. The background management module monitors orders and production progress in real time. According to the method, the customization efficiency and accuracy are improved, and the problems of large traditional customization error, insufficient individuation and the like are solved.
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