2025 | Student

MUSE Design Awards Gold Winner

ShoeMate-Share a micro-clean shoe washer

Entrant Company

East China Normal University

Category

Product Design - Personal Care

Client's Name

Country / Region

In the gym setting, people's feet sweat profusely after intense workouts, quickly making their shoes damp and dirty. Not only do they become stained, but they also become a breeding ground for bacteria. Busy modern people often don't have time to clean their shoes after exercising, and regular cleaning methods are not effective in deeply eliminating bacteria. Currently, the market lacks convenient shoe-cleaning solutions specifically designed for gyms. Against this backdrop, ShoeMate, a shared smart shoe-cleaning machine, has emerged.

ShoeMate is equipped with numerous advanced technologies and features. It is fitted with an odor sensor that can sensitively monitor VOCs and accurately detect the bacterial growth inside shoes, providing precise data for subsequent treatment. Users only need to click a button on the mini-program to start the service, place their shoes in the machine, and the odor sensor will immediately activate. Within 1 to 2 minutes, a detailed detection report will be generated, and an appropriate cleaning and disinfection mode will be intelligently recommended.
After confirming the mode and completing the payment, the shoe-cleaning machine initiates an efficient cleaning process. Multi-dimensional micro-steam air wash penetrates deep into the fibers to remove dirt, while dual-engine heat pumps dry the shoes to inhibit bacterial growth. Ultraviolet sterilization technology uses specific wavelengths of ultraviolet light to deeply damage the DNA and RNA structures of microorganisms, achieving comprehensive disinfection. At the same time, an air purification system simultaneously removes odors and impurities. The intelligent system precisely controls parameters such as temperature and humidity, and efficiently filters and intercepts dirt.
The entire cleaning process follows a scientific sequence of "detecting bacteria first, then precisely disinfecting," and the progress is updated in real time on the APP or mini-program. After completion, the system promptly notifies the user to retrieve their shoes and guides them to provide feedback. This truly realizes the full process of intelligent identification, timely response, and one-click convenient operation from detection to cleaning and disinfection, effectively solving the shoe-cleaning problem for gym-goers.

Credits

East China Normal University
Zhu Ke
East China Normal University
Huang Junde
East China Normal University
Jin Yuru
East China Normal University
Ling Jiwen
East China Normal University
Li Xinyang
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