Intelligent Push Board And Shape Recommendation For Clothing Customization

With the development of the times and the advancement of technology,all walks of life are merging with the Internet.In recent years,clothing as a traditional manufacturing industry has gradually entered a bottleneck.Due to the improvement of people’s living standards,there are gradually higher requirements for clothing,food,housing and transportation.As far as "clothing" is concerned,people are no longer satisfied with the basic functions of clothing such as keeping warm,keeping warm,and protecting.But I want to have a more fit,comfortable,and able to highlight their own personality and temperament.In addition to its own attributes,clothing also possesses more social elements.Therefore,with the advent of the 5G era,the rapid development of artificial intelligence and the increase in people’s attention to personalized products,digital clothing will be a market with huge capacity and rapid development.This study is aimed at intelligent customization of clothing and has certain practicability and reference.Based on this,the two research aspects of smart push plate and size recommendation for smart clothing customization systems,First,obtain human body data through three-dimensional body scanning measurement and manual measurement,classify the body shape,and study the correlation of various parts;On this basis,by building a neural network related model,using various parts of the human body size on the virtual image photo to predict the real human body data;Determine the grade value of the corresponding push plate under the new body type through the reclassified body type,and use the decision tree forest method to recommend clothing sizes of different body types;Finally,from the perspective of intelligent interaction,the relevant parameters and the number of interactions described by the clothing customization platform are defined and optimized,and a digital clothing personalized customization platform prototype based on intelligent clothing customization is constructed.Through research,this article has completed the re-analysis and classification of human body shape,and built a neural network-based data prediction model for various parts of the human body and a clothing size recommendation model based on random forest.The accuracy of the model is 96% and 97.8% respectively.Finally,based on the Agent interaction idea,a prototype of a digital clothing customization platform is constructed,which provides new ideas and references for the enterprise clothing customization platform.