Intelligent clothes recommendation device and method

Abstract

The invention discloses an intelligent clothes recommendation device and method. The method comprises the following steps that: configuring a weighing sensor on each clothes suspension position in a clothes recommendation device, and when clothes are positioned on each clothes suspension position, obtaining weight information on the clothes suspension position; pre-constructing a conversion relationship between clothes weight and environment temperature information suitable for wearing, and according to the clothes weight on the clothes suspension position, determining the environment temperature suitable for clothes to wear; selecting a weather situation of weather information contained in a city by a user, or obtaining the outdoor temperature information of a place where a clothes recommendation device is positioned, and according to the obtained temperature information, matching with clothes recommended to the user; and when the user opens the door body of the clothes recommendation device, according to the temperature information, recommending clothes worn by the user to move to the door body in sequence for the user in selection. By use of the method, according to the environment temperature information and the situation of clothes practically owned by the user, clothes are recommended to the user, so that the user quickly finds the clothes which are suitable to wear, andtime is saved.

Description

technical field [0001] The invention relates to the field of household technology, in particular to an intelligent clothing recommendation device and method. Background technique [0002] With the rapid development of science and technology and the improvement of people's living standards, people usually have more and more clothes to choose from. In many cases, people like to hang clothes in different seasons in a closet in a chaotic manner. When choosing clothes for daily life, you need to choose over and over again, wasting a lot of time, and you can’t choose the right clothes according to the weather conditions, especially for those users who live in high-rise buildings in the city, they can’t keep abreast of the changes in the outdoor environment. It is very hot to wear heavy clothes to go out, and sometimes the weather is cooler and chooses thinner clothes to go out, which causes a lot of inconvenience to people's lives. [0003] The Chinese patent with the publication...

AI Technical Summary

Problems solved by technology

This invention is based on the method of machine learning, and the implementation process is complicated. It cannot recommend suitable clothes to users based on temperature information. To make recommendations, users still need to look for clothes in the closet over and over again, the effect is poor, and it is not practical

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