Design of an Embedded Virtual Instrument System based on Image Recognition
碩士 === 國立中央大學 === 資訊工程學系在職專班 === 107 === To facilitate a smart manufacturing environment, considerable on-site production information must be extracted. However, in real factories, many old equipment and devices are not equipped with interfaces to extract and transmit digital data, or have compatibi...
Main Authors: | , |
---|---|
Other Authors: | |
Format: | Others |
Language: | zh-TW |
Published: |
2019
|
Online Access: | http://ndltd.ncl.edu.tw/handle/9jkeyc |
id |
ndltd-TW-107NCU05392013 |
---|---|
record_format |
oai_dc |
spelling |
ndltd-TW-107NCU053920132019-06-27T05:42:35Z http://ndltd.ncl.edu.tw/handle/9jkeyc Design of an Embedded Virtual Instrument System based on Image Recognition 基於影像辨識的嵌入式虛擬儀表系統設計 Jen-Yang Ho 何仁揚 碩士 國立中央大學 資訊工程學系在職專班 107 To facilitate a smart manufacturing environment, considerable on-site production information must be extracted. However, in real factories, many old equipment and devices are not equipped with interfaces to extract and transmit digital data, or have compatibility problems against standardized data extraction and exchange. Therefore, this study designed an embedded instrument identification system to automatically extract digits, pointers, and waveforms on a conventional instrument and digitalize these data to solve the problem of equipment information integration. The virtual instrument system performs corresponding image processing and extracts data on digits, points and waveforms, and recognizes digits by neural network. We used an embedded platform based on ARM Cortex-M7 core with minimized hardware resources. The accuracy rates of the system in identifying digits, pointers, and waveforms reached 76.4%, 73.68%, and 64.7%, respectively. The results verified the feasibility of the proposed embedded virtual instrument system. Ching-Han Chen 陳慶瀚 2019 學位論文 ; thesis 50 zh-TW |
collection |
NDLTD |
language |
zh-TW |
format |
Others
|
sources |
NDLTD |
description |
碩士 === 國立中央大學 === 資訊工程學系在職專班 === 107 === To facilitate a smart manufacturing environment, considerable on-site production information must be extracted. However, in real factories, many old equipment and devices are not equipped with interfaces to extract and transmit digital data, or have compatibility problems against standardized data extraction and exchange. Therefore, this study designed an embedded instrument identification system to automatically extract digits, pointers, and waveforms on a conventional instrument and digitalize these data to solve the problem of equipment information integration. The virtual instrument system performs corresponding image processing and extracts data on digits, points and waveforms, and recognizes digits by neural network. We used an embedded platform based on ARM Cortex-M7 core with minimized hardware resources. The accuracy rates of the system in identifying digits, pointers, and waveforms reached 76.4%, 73.68%, and 64.7%, respectively. The results verified the feasibility of the proposed embedded virtual instrument system.
|
author2 |
Ching-Han Chen |
author_facet |
Ching-Han Chen Jen-Yang Ho 何仁揚 |
author |
Jen-Yang Ho 何仁揚 |
spellingShingle |
Jen-Yang Ho 何仁揚 Design of an Embedded Virtual Instrument System based on Image Recognition |
author_sort |
Jen-Yang Ho |
title |
Design of an Embedded Virtual Instrument System based on Image Recognition |
title_short |
Design of an Embedded Virtual Instrument System based on Image Recognition |
title_full |
Design of an Embedded Virtual Instrument System based on Image Recognition |
title_fullStr |
Design of an Embedded Virtual Instrument System based on Image Recognition |
title_full_unstemmed |
Design of an Embedded Virtual Instrument System based on Image Recognition |
title_sort |
design of an embedded virtual instrument system based on image recognition |
publishDate |
2019 |
url |
http://ndltd.ncl.edu.tw/handle/9jkeyc |
work_keys_str_mv |
AT jenyangho designofanembeddedvirtualinstrumentsystembasedonimagerecognition AT hérényáng designofanembeddedvirtualinstrumentsystembasedonimagerecognition AT jenyangho jīyúyǐngxiàngbiànshídeqiànrùshìxūnǐyíbiǎoxìtǒngshèjì AT hérényáng jīyúyǐngxiàngbiànshídeqiànrùshìxūnǐyíbiǎoxìtǒngshèjì |
_version_ |
1719213064265400320 |