A Study of Image Navigation in Industrial Process by Artificial Neural Network

碩士 === 國立中央大學 === 機械工程學系在職專班 === 106 === As technology advances and changes in market patterns, automated production has been widely used in various industries, in order to further enhance the automation system’s production efficiency in the process, Germany proposes a high-tech project for Industry...

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Bibliographic Details
Main Authors: Yao-Cheng Wang, 王耀成
Other Authors: 黃衍任
Format: Others
Language:zh-TW
Published: 2018
Online Access:http://ndltd.ncl.edu.tw/handle/t5q8u2
Description
Summary:碩士 === 國立中央大學 === 機械工程學系在職專班 === 106 === As technology advances and changes in market patterns, automated production has been widely used in various industries, in order to further enhance the automation system’s production efficiency in the process, Germany proposes a high-tech project for Industry 4.0 in 2013, Industry4.0 refers the integration of existing industrial technology and marketing,through the IE of things and big data for real-time status monitoring, build a smart factory with adaptability. This study uses a neural network system fast calculation function, The process of automated systems perform numerical calcilations in a smart way, bulid an automated systems have barcode recognition function and improves production efficiency, practical exploration development of image systems and neural network systems in the future.