Shoe type recommendation system based on foot features of user

Abstract

The invention discloses a shoe type recommendation system based on user foot features, and the system comprises a user foot three-dimensional scanner, a cloud server and a user mobile terminal, and totally comprises nine modules: a laser scanning module, a scene simulation module, a quick charging data communication module, an image processing module, a data storage module, a three-dimensional modeling module, an AR shoe trying module, and a shoe type recommendation module. According to the invention, the foot data of the user is obtained through the foot three-dimensional scanner of the user;the foot data of the user is processed and stored; and finally, a user foot three-dimensional model is constructed according to the obtained data. In addition, the AR shoe trying-on and shoe type recommendation functions are provided, the problems that the offline shoe trying-on process of a user is tedious, the user cannot find needed shoes smoothly online, and shoes selected online are inappropriate are solved; the user can check the footwear footwear effect without going out, meanwhile, a decision is effectively provided for the user, and therefore the online shoe purchasing process is completed smoothly.

Description

technical field [0001] The invention relates to the field of user shoe type recommendation, in particular to a shoe type recommendation system based on user foot characteristics. Background technique [0002] With the popularity of the Internet and the rapid development of the e-commerce industry, compared with offline shopping, people spend more and more online. Shoes, as an indispensable item in people's daily life, occupy a part of the market on e-commerce platforms. More and more people start to buy their favorite shoes online. While saving the tedious process of trying on shoes offline, users also face the risk that the shoes they choose online are not suitable for them. At the same time, users shop online When faced with a large amount of shoe type information, it is easy to get lost in the complicated information, unable to accurately obtain the information you need, and then choose your favorite shoes. [0003] In the existing technology, the AR shoe fitting functi...

AI Technical Summary

Problems solved by technology

[0004] Aiming at the deficiencies in the above-mentioned background technology, the present invention proposes a shoe type recommendation system based on the user's foot characteristics, which solves the problem of users trying shoes offline, being unable to find the shoes they need online, and choosing shoes online. Inappropriate questions, and provide the function of AR shoes, which can effectively provide decision-making for users, so as to successfully complete the process of buying shoes online

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