London Design Silver

2024

Smart Beauty Mirror S1

Entrant

Shenzhen H&T Intelligent Products Co., Ltd. & Shenzhen H&T Intelligent Control Co., Ltd.

Category

Product Design - Beauty & Cosmetic Products

Client's Name

Country / Region

China

This makeup mirror, featuring cutting-edge technologies such as hyperspectral imaging, multi-light source simulation, and intelligent skin analysis, aims to provide a comprehensive solution for makeup, makeup removal, and skin health management.

To enhance facial makeup restoration ability and accurately display the user's condition, it is equipped with unique hyperspectral imaging technology and can achieve high CRI (color rendering index) fill-in light effect. Thanks to the TOF (Time-of-Flight) ultra-precision ranging technology, coupled with RGB/UV dual camera system, and 365-nanometer hyperspectral fill light designed to enhance detail capture, it can display all the details of the face. As long as cosmetics contain sunscreen ingredients, the mirror can accurately identify their distribution on the skin and coverage effect, giving users an ideal makeup and removal effect.

The makeup mirror is equipped with multiple sets of light sources, featuring nine lighting effects, such as daylight, morning light, and stage light, making it easy for users to choose the exact light reference according to their makeup needs. Especially the industry-first ‘daylight’ mode can simulate the outdoor lighting conditions of the user's current location, ensuring consistency of makeup indoors and outdoors. In addition, the product features a five-way button that allows users to freely adjust the brightness and color temperature of the light, as well as quickly switch to the desired mode.

The makeup mirror also has intelligent analysis function. Based on daily facial images, it can generate detailed skin condition reports with specially developed skin measurement algorithms, and allow users to view them through a mobile app. In addition, the system also offers personalized care suggestions to help users maintain optimal skin condition.

Credits

Feng Ye
Di Wu
Luping Zhou
Guiwen Xiao
Longtao Huang
Feng Xu
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