發表時間 | 期刊/會議 | 論文標題 | 作者 |
---|---|---|---|
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.” |