Annual Report 2017–18

28 香港中文大學年報 CUHK Annual Report 2017–2018 可降解微型機械人 機械與自動化工程學系張立教授，利用天然 螺旋菌和納米技術，研製出能在活體內追蹤 和遙控感應病灶環境變化的可降解微型機 械人。浸泡於鐵磁性納米顆粒懸浮液的螺旋 藻，在旋轉磁場驅動下，能在血液、胃液和 尿液中移動。張教授的研究顯示，螺旋藻降 解釋出的成分能殺滅癌細胞而不損害正常 細胞。（上圖） 人工智能行李車監察系統 系統工程與工程管理學系鄭進雄教授，利用 人工智能影像內容辨析技術，為香港機場研 發出實時「行李手推車辨識系統」。該系統可 連繫iOS及Android應用程式，當行李車數目 下降至特定水平，即可向行李車管理員發出 提示，其準確度達92%。鄭教授設計的系統， 影像質素媲美其他需要大流量頻寬影像傳輸 的辨析系統，而設置成本卻較廉宜。 Biodegradable Microbots By using spirulina algae and nanotechnology, Prof. Zhang Li of the Department of Mechanical and Automation Engineering and his team developed biodegradable microrobotic agents capable of in-vivo tracking and sensing changes in environments associated with the onset of illnesses. By soaking the algae in fermomagnetic nanoparticles field and applying an external rotating magnetic field, the microbots can move in blood, gastric juice and urine. Professor Zhang’s research showed that the biocompounds of algae released during its decomposition could selectively attack cancer cells without harming normal cells. (Top photo) AI Trolley Supply Monitoring System Prof. Cheng Chun-hung of the Department of Systems Engineering and Engineering Management developed a ‘Real-time Trolley Supply Monitoring System’ for the Hong Kong International Airport by using artificial intelligence (AI) technology for analysing video data. The system, connected to iOS and Android apps, issues alerts to service providers when the number of trolleys falls below a certain point, achieving a detection rate of 92%. The installation cost of the system is also lower than other methods that require high bandwidth video transfer.