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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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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:	[Executive Master of Business Administration] Theses

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