設施農業：綠能設施開發【電機工程學系/林俊良 中興講座教授】
| 論文篇名 | 英文：Securable networked scheme with face authentication 中文：具有人臉認證的安全聯網方案 |
| 期刊名稱 | IET Biometrics |
| 發表年份,卷數,起迄頁數 | 2021 |
| 作者 | Huang, Da-You; Lin, Chun-Liang(林俊良)*; Chen, Yang-Yi |
| DOI | 10.1049/bme2.12056 |
| 中文摘要 | 近年來，人臉識別已被廣泛應用於各個領域。廣泛的應用與大量的數據傳輸相關聯，因此相應地激發了邊緣計算。在這項研究任務中，邊緣計算的主要目標是將一部分計算工作移交給終端設備；服務器只需要處理最終返回的結果。提出的物聯網配置包括感知層、傳輸層和應用層，以實現完整的物聯網系統。在感知層，採用人臉認證機制。該系統配備了高度強大的反欺騙功能，可以避免照片或電子屏幕的犯罪訪問。最後，將物聯網傳輸系統作為傳輸層來實現。結合物聯網的傳輸機制，可以將用戶面部特徵分發到用戶的電子設備上，而不是將其存儲在服務器中。這不僅節省了存儲資源和傳輸成本，還可以讓用戶輕鬆完成數據傳輸和人臉認證。 |
| 英文摘要 | Recently, facial recognition has been extensively adopted in various fields. Wide applications are associated with a large amount of data transmission so that edge computing is inspired accordingly. In this research task, the major goal of edge computing is to handover a part of the computing work to the terminal equipment; the server only needs to process the results of final return. The IoT configuration proposed includes a perception layer, a transmission layer, and an application layer to fulfil a complete IoT system. In the perception layer, the facial authentication mechanism is adopted. This system is equipped with a highly robust anti-spoofing function, which can avoid criminal access from photos or electronic screens. Finally, the IoT transmission system is realised as the transmission layer. Combined with such a transmission mechanism, one can distribute user facial features to user's electronic devices instead of storing it in the server. This not only saves storage resources and transmission costs, but also allows users to complete data transmission and face authentication easily. |
| 發表成果與本中心研究主題相關性 | 利用物聯網功能讓身份資料可隨身攜帶，並透由本地端辨識系統辨別個人身份。 |
