1. 1 sec fast fitting: through face recognition technology, the system can quickly identify users and establish real-life models; Users can choose clothes of various styles and colors, and the clothes can be "put on" within 1 second, thus realizing rapid virtual fitting.
2. Mass clothing display: clothing models can be imported into the system by taking photos, without manual modeling, which is efficient and convenient, greatly reducing the cost of clothing modeling for merchants; The display of clothing is no longer limited by the size of the store.
3. Accurate size recommendation: the system recommends the appropriate size for the user through the real model of the user; At the same time, users can adjust the body shape data independently according to their own actual situation to improve the accuracy of the data.
4. A variety of matching suggestions: a large number of clothes are available for users to choose freely, and different colors and styles can be matched at will; The system will also make intelligent recommendations according to the style selected by users to help users choose the style that suits them.
5. Quick payment and order placing: click on the payment and scan the code to complete the payment, without waiting in line, saving users' shopping time and improving the shopping experience.