2024 | Professional

MUSE Design Awards Silver Winner

Smart Beauty Mirror S1

Entrant Company

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 users with a comprehensive beauty and skincare assistance experience.

Its core function lies in the unique hyperspectral imaging technology and 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, it can capture and display all the details of the face, making any missed areas or incomplete makeup removal visible, giving users a more perfect makeup and removal experience. Moreover, this technology effectively enhances facial restoration ability, allowing the mirror to accurately display the actual makeup effect.

To adapt to diverse usage scenarios, the makeup mirror is equipped with multiple sets of light sources, which can achieve nine lighting effects ranging from natural light to various specific occasions, such as daylight, morning light, stage light, and live streaming. 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 between different modes, enhancing convenience.

Another major feature is the intelligent analysis function. It can record daily facial images, generate detailed skin condition reports with specially developed skin measurement algorithms, and allow users to view them through a mobile app at any time. In addition, the system also offers targeted skincare solutions based on the information provided in the reports to help users improve their skin condition.

Credits

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