The Prototype Design of a Position Monitoring System with a Real-Time Image Display

碩士 === 國立高雄科技大學 === 電子工程系 === 107 === Things in the life are becoming more and more convenient due to the advancement of technology, in which, for instance, positioning systems, Internet of Things (IoT) and Artificial Intelligence (AI) have been gaining a considerable attention and have been largely...

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Bibliographic Details
Main Authors: CHU,CHIAO-YI, 朱教毅
Other Authors: HSIEH,CHIN-FA
Format: Others
Language:zh-TW
Published: 2019
Online Access:http://ndltd.ncl.edu.tw/handle/t596g8
Description
Summary:碩士 === 國立高雄科技大學 === 電子工程系 === 107 === Things in the life are becoming more and more convenient due to the advancement of technology, in which, for instance, positioning systems, Internet of Things (IoT) and Artificial Intelligence (AI) have been gaining a considerable attention and have been largely applied to monitoring. However, with the coming of the Smart Industry 4.0, the monitoring of indoor positioning and safety issue should be worthy of more attention. For the development of this system, a good indoor positioning system must satisfy two functions, accurate location estimation and image monitoring, which are the base for my prototyped design. In my work, the chips of DWM1000, LPC1115 and MPU9250 and LinkIt7688 are used to build a positioning system.This positioning system is composed of a coordinator and at least three anchors. The former is used to receive data and the latter are to help effectively locate the relative distance. The positioning data is collected by the Linkit7688, which then upload those data to the cloud.With an image recognition and a monitoring system, this positioning system achieve the field monitoring function.If the field monitoring detected a problem, it then instantly sends the image and coordinates of the current location to the user end. With which, the monitor can instantly capture where and what the problem is. It achieves an indoor positioning with image display monitoring system. In the further research, this proposed system can combine more sensors to create more functions. It can also combine together with an existing monitoring to help the monitor much clearly capture the position and image, to prepare for the action responding to the current environmental state.