Knowledge Transfer Activities | Research Institute for Artificial Intelligence of Things

Year	RIAIoT member(s) invovled	Title	Transferred Details
2023	Prof. Jiannong Cao	Prototype	PolyPi: Edge AI-empowered Autonomous Robot for Inpipe Inspection (Silver Medal, the 48th Geneva International Exhibition of Inventions)
2023	Dr Haibo Hu	Patents (granted)	Method and apparatus for collecting key-value pair data. US Patent 11,615,099, Mar 2023.
2023	Prof. Jiannong Cao	Patents (granted)	一种多NFC 芯片融合的防伪标签及其验证方法 (Patent No. ZL202011228593.9)
2022	Prof. Jiannong Cao	Prototype and adoption of research outcomes	Low-cost Acoustic-based Liquid Fraud Detection supported by RGC Research Impact Fund “Tackling Grand Challenges in Food Safety: A Big Data and IoT Enabled Approach.”
2022	Prof. Xia Yong	Adoption of research outcomes and real-world deployment	Guangdong-Hong Kong-Macao Greater Bay Area Standards, T/GBAS 0001−2021, “Data standard system for intelligent operation and maintenance of bridge-island-tunnel crossings — Guidelines on the establishment of standards.”
2022	Prof. Jiannong Cao	Prototype	Autonomous Cooperative Multi-robot System: A Fully Distributed Approach
2022	Prof. Xia Yong	Adoption of research outcomes and real-world deployment	PolyU Footbridge Health Monitoring System. The system consists of 88 sensors of 13 type to monitor the environmental parameters, various loads, and responses of the bridge in real-time. A touchscreen mounted at the bridge end of Block Z and an Internet website provides an education platform for students and the public.
2022	Prof. Xia Yong	Adoption of research outcomes and real-world deployment	“Data for intelligent operation and maintenance of bridge-island-tunnel crossings — Bridge structures.”
2022	Prof. Jiannong Cao	Prototype and adoption of research outcomes	Distributed Edge Intelligence for AI-empowered Applications
2022	Prof. Jiannong Cao	Prototype and adoption of research outcomes	Low-cost Hyperspectral Sensing for Food Freshness Detection supported by RGC Research Impact Fund “Tackling Grand Challenges in Food Safety: A Big Data and IoT Enabled Approach.”