Analog to Digital Meter Reader Converter Using Signal Processing Technique

The need for the Internet of Things to link devices and equipment, mostly in industry, is compelling industrial players to ensure they are adequately equipped with such technology. For newly established industries, it is prudent to begin by equipping their facilities with IoT-enabled technology that...

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Published in:ISCI 2021 - 2021 IEEE Symposium on Computers and Informatics
Main Author: Hassan H.A.; Zabidi A.; Yassin A.I.M.
Format: Conference paper
Language:English
Published: Institute of Electrical and Electronics Engineers Inc. 2021
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85123862853&doi=10.1109%2fISCI51925.2021.9633440&partnerID=40&md5=16ad8676a00fed1f73bde94b60dc9ba7
id 2-s2.0-85123862853
spelling 2-s2.0-85123862853
Hassan H.A.; Zabidi A.; Yassin A.I.M.
Analog to Digital Meter Reader Converter Using Signal Processing Technique
2021
ISCI 2021 - 2021 IEEE Symposium on Computers and Informatics


10.1109/ISCI51925.2021.9633440
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85123862853&doi=10.1109%2fISCI51925.2021.9633440&partnerID=40&md5=16ad8676a00fed1f73bde94b60dc9ba7
The need for the Internet of Things to link devices and equipment, mostly in industry, is compelling industrial players to ensure they are adequately equipped with such technology. For newly established industries, it is prudent to begin by equipping their facilities with IoT-enabled technology that is widely accessible on the market. However, for older businesses, building and machine, the changeover process may be expensive, requiring them to replace existing equipment with new IOT-ready technology. A way to do this is to enhance the existing equipment without having to replace it. We suggested a solution in this article to an issue with analogue meters. The analogue reading is converted to digital using an image processing method. Thus, the digital readings can be sent to an IOT platform, allowing for effective asset monitoring. © 2021 IEEE.
Institute of Electrical and Electronics Engineers Inc.

English
Conference paper

author Hassan H.A.; Zabidi A.; Yassin A.I.M.
spellingShingle Hassan H.A.; Zabidi A.; Yassin A.I.M.
Analog to Digital Meter Reader Converter Using Signal Processing Technique
author_facet Hassan H.A.; Zabidi A.; Yassin A.I.M.
author_sort Hassan H.A.; Zabidi A.; Yassin A.I.M.
title Analog to Digital Meter Reader Converter Using Signal Processing Technique
title_short Analog to Digital Meter Reader Converter Using Signal Processing Technique
title_full Analog to Digital Meter Reader Converter Using Signal Processing Technique
title_fullStr Analog to Digital Meter Reader Converter Using Signal Processing Technique
title_full_unstemmed Analog to Digital Meter Reader Converter Using Signal Processing Technique
title_sort Analog to Digital Meter Reader Converter Using Signal Processing Technique
publishDate 2021
container_title ISCI 2021 - 2021 IEEE Symposium on Computers and Informatics
container_volume
container_issue
doi_str_mv 10.1109/ISCI51925.2021.9633440
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85123862853&doi=10.1109%2fISCI51925.2021.9633440&partnerID=40&md5=16ad8676a00fed1f73bde94b60dc9ba7
description The need for the Internet of Things to link devices and equipment, mostly in industry, is compelling industrial players to ensure they are adequately equipped with such technology. For newly established industries, it is prudent to begin by equipping their facilities with IoT-enabled technology that is widely accessible on the market. However, for older businesses, building and machine, the changeover process may be expensive, requiring them to replace existing equipment with new IOT-ready technology. A way to do this is to enhance the existing equipment without having to replace it. We suggested a solution in this article to an issue with analogue meters. The analogue reading is converted to digital using an image processing method. Thus, the digital readings can be sent to an IOT platform, allowing for effective asset monitoring. © 2021 IEEE.
publisher Institute of Electrical and Electronics Engineers Inc.
issn
language English
format Conference paper
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record_format scopus
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