Knowledge Transfer Activities | Research Institute for Artificial Intelligence of Things

Year	RIAIoT member(s) invovled	Title	Transferred Details
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)
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.
2022	Prof. Jiannong Cao	Prototype	Autonomous Cooperative Multi-robot System: A Fully Distributed Approach
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. 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.”