2025 | Professional

MUSE Design Awards Gold Winner

iPlayHoop

Entrant Company

北京蓝的智造信息科技有限公司

Category

Product Design - Outdoor & Exercise Equipment

Client's Name

体娱雷达(海南)科技有限公司

Country / Region

China

Project Description:
The design of the smart basketball board is a result of technological innovation, precisely meeting market and user demands. Globally, the annual growth rate in the "smart sports equipment" sector exceeds 20%. Traditional basketball equipment, due to its pronounced homogeneity, cannot satisfy the market's demand for products that combine professional training and entertainment functions. The smart basketball board, however, aptly fills this significant supply gap.
From the perspective of users, professional athletes crave data-driven training programs. Traditional manual recording and analysis of sports data can no longer meet their precision requirements for optimizing shooting techniques. Meanwhile, ordinary users, especially the younger demographic, seek immersive sports social experiences. They favor interactive features such as online competitions and leaderboards, as traditional singular shooting drills struggle to maintain their enthusiasm for sports.
Utilizing sensors and artificial intelligence algorithms, the smart basketball board can provide real-time shooting data feedback and enable innovative gameplay such as remote battles. It can serve as a "data coach" for professionals and as a "social sports platform" for the general public. Its design not only meets the market's demand for differentiated products but also demonstrates forward-thinking in the integration of technology and sports, setting a paradigm for innovation in the global sports equipment industry.
New technologies, new materials, new applications:
1、Remote guidance by international coaches, enabling technological equity.2、AI coach online guidance for more scientific sports training.3、Long-distance competitions, making distance irrelevant.4、Real-time data to enhance sports effectiveness.5、Live event streaming for anytime learning.6、AI-powered instant editing of highlight reels.7、Real-time social sharing.8、Post-match data analysis to visualize performance metrics

Credits

项目负责人
刘强
设计师
张子豪
设计师
李兵兵
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