2025 | Professional

MUSE Design Awards Gold Winner

Dark Knight AI Smart Mattress

Entrant

Zhejiang SeeMoreThing Home Co.,Ltd

Category

Product Design - New Category:

Client's Name

Country / Region

China

The Dark Knight AI Smart Mattress is a smart mattress that integrates cutting-edge artificial intelligence technology, ergonomic principles, and human body big data, designed to meet the unique physiological structures and sleep habits of each user. By incorporating sophisticated AI technology and a smart support system, the mattress can sense and respond to the user's body pressure changes in real time, ensuring optimal support and comfort. Additionally, the mattress features a distinctive DK quilting pattern on its surface, complemented by a black, skin-like fabric that aligns with the brand's aesthetic, creating a highly recognizable and stylish appearance.
We are committed to developing a smart sleep solution that can flexibly adapt to individual differences, ensuring that every user enjoys a personalized and comfortable experience. We firmly believe that technology should serve human health. By integrating advanced intelligent technology into our product design, we can significantly improve users' sleep quality, thereby having a positive impact on their physical and mental well-being.
In terms of appearance, the Dark Knight AI Smart Mattress continues the brand's minimalist and tech-savvy aesthetic. The entire mattress is covered in a black, skin-like fabric that enhances the surface's stretchability while elevating the tactile experience. The DK quilting pattern on the mattress surface is inspired by the initials D and K of Dark Knight, seamlessly connecting the four corners to create a smooth and fluid visual effect. When using electric adjustment, the mattress surface stays smooth and flat, avoiding the wrinkles typically caused by traditional electric mattresses, thus preventing uncomfortable tactile experiences and ensuring users always enjoy the utmost in aesthetic appeal and comfort.

Credits

Gu Weijie
Guo Wang Benyi
Gao Xiaojie
Lü Hui
Mo Yinjian
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