2025 Galleries
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Galleries // 2025 Spark:Spring Student // Lumi.io
Lumi.io
Finalist
Competition: Spark:Spring Student
Designer: Chih-Yun Li
Design Type: Product & industrial
Company / Organization / School: Ming Chi University of Technology
Team Members: Li Chih-Yun, Chen Zih-Jin, Lin Yu-He, Wu Yi-Chen & Chuang Chu-An Advisor: Prof. Li Kai-Chu
Lumi.io is an application designed specifically for exhibition and performance events, offering unmanned vehicle and image capture services. By leveraging AI spatial recognition technology, it rapidly constructs a model of the venue and schedules unmanned vehicle tasks directly within the app. During events, multiple drones are used to capture multi-angle footage, while balancing scooters reduce the physical strain on photographers, enhancing both flexibility and efficiency in filming. With AI facial recognition, Lumi.io ensures that every participant is captured on camera, offering personalized photography services. After the event, the system automatically categorizes the footage and delivers the photos to participants while safeguarding their privacy, thereby enhancing the overall experience. Lumi.io also offers unmanned vehicles equipped with commercial promotion and information dissemination capabilities, optimizing on-site traffic flow and risk management to improve event quality and ensure personnel safety.
