現今影像監控技術日新月異，使用網路數位攝影機已是時代的趨勢，將整個影像傳輸的架構都換成使用網路傳遞，因此不需要拉傳統的纜線還有架設一些提升類比訊號的訊號放大器，相較之下更容易架設與遷移機，並結合現在的雲端應用，讓使用者不必考慮影像儲存空間及系統建置的問題，消費者終端可以直接使用個人電腦或者是平板、手機等裝置就可以達到遠端監看即時影像的功能。 然而一般使用者也不會時常盯著即時影像觀看，因此還會有設備故障而無法即時得知的問題，因此本碩士在職專班論文為探討影響影像監控系統的設備妥善率之可能原因，並尋找該原因的解決辦法，最終設計與製作一個有效提升影像監控設備妥善率的系統與方法。 最後透過某機構正在使用的影像監控平台上之實驗案例，經研究統計結果顯示，是有對於影像監控設備的妥善率有顯著的提升，並也額外因自動化故障偵測與改善巡查方式而有效的節省人力成本。 ;Nowadays, Using IP Cameras has almost become a trend and is combined with cloud computing, so users do not have to consider the problem of image storage and system construction, users can use personal computers, tablets, smartphones or other devices can achieve remote monitoring. However, the general user does not often stay at the security office to watch the monitor, so there will be unable to know the device failures in real-time, so this research focuses on designing and producing a method and system of how to improve the availability rate of video surveillance devices. This research design and produce several ways to improve the device availability rate, such as the use of system automation to detect device failures, the design of daily check and audit systems, the repair process system, and the notification of manufacturer, hoping to improve the overall accuracy of video surveillance devices. Finally, the statistical results of the experimental case research show that there is outstanding improvement in the availability rate of video surveillance devices, and also effectively saves labor costs due to automatic fault detection and improved inspection methods.
