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    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/136876


    Title: 機器學習於數位監控之應用分析
    Machine learning from digital surveillance analysis
    Authors: 江家瑀
    Chiang, Andy
    Contributors: 謝明華
    江家瑀
    Andy Chiang
    Keywords: 安防監控
    智慧數位監控
    物聯網
    區塊鏈
    機器學習
    智慧感測器
    Date: 2021
    Issue Date: 2021-09-02 16:13:38 (UTC+8)
    Abstract: 隨著當代文明的發展與進步,人類越來越注重生活中的便利性和各方面的安全問題,物聯網的概念已經越來越普及,其技術應用也已然成為未來的趨勢。傳統的類比監視攝影機對於維護人們安全效率已經太低,相較之下,智慧數位監控系統擁有人臉辨識的技術,能夠自主辨識人事物以及根據影像分析其行為,並做出決策。智慧數位監控需要運用到現今最流行的技術:機器學習和區塊鏈技術。透過機器學習當中的深度學習,將原本須依賴人工的效率較低的類比影像監控轉化成為具有 “大腦”,具備自主思考能力以及分析判斷能力的智慧影像監控;然而,作為物聯網設備,與其他物聯網系統中的設備相互協作與溝通也是必要的,區塊鏈技術則是解決物聯網設備間數據傳輸問題的關鍵。本文運用文獻探討與案例分析的方式,首先介紹人工智慧和深度學習的概念以及區塊鏈技術,隨後分析智慧物聯網以及智慧數位監控如何結合以上兩項技術,讓讀者能夠較為全面地了解現今尖端技術的應用,最後再以兩個成功使用智慧監控的案例來看實務上的操作。
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    Lim, J. (2018). "CamThings: IoT Camera with Energy-Efficient Communication by Edge Computing based on Deep Learning."

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    Milevsky, M. A. and S. E. Posner (2001). "The titanic option: valuation of the guaranteed minimum death benefit in variable annuities and mutual funds." Journal of Risk and Insurance: 93-128.

    Nelly (2021). "What Is Deep Learning Artificial Intelligence and Why Is It Important for Video Surveillance? A First Look at Uniview`s Deep Learning Security Cameras."

    Penfold, A. (2020). "How IoT is reshaping the future of video surveillance." from https://www.securityandsafetythings.com/insights/iot-reshaping-future-surveillance.

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    Description: 碩士
    國立政治大學
    經營管理碩士學程(EMBA)
    106932027
    Source URI: http://thesis.lib.nccu.edu.tw/record/#G0106932027
    Data Type: thesis
    DOI: 10.6814/NCCU202101231
    Appears in Collections:[經營管理碩士學程EMBA] 學位論文

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