An Automatic Meter Reading System Using Computer Vision Technology and Hydroelectricity Auxiliary Power Supply-Reference-Cited by-同舟云学术

An Automatic Meter Reading System Using Computer Vision Technology and Hydroelectricity Auxiliary Power Supply

Published:2022-10-18 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 11th Global Conference on Consumer Electronics (GCCE)
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Author:

Wang Dao-Jiun¹,Fanjiang Yong-Yi²,Hung Chi-Huang³,Yeh Yu-Hsiang⁴,Hsiao Yao-Yun⁵,Hsiao Sheng-En⁶

Affiliation:

1. Graduate Institute of Applied Science and Engineering, Fu Jen Catholic University,New Taipei City,Taiwan R.O.C

2. Graduate Institute of Applied Science and Engineering, Fu Jen Catholic University,Dept. of Computer Science and Information Engineering,New Taipei City,Taiwan

3. Graduate Institute of Applied Science and Engineering, Fu Jen Catholic University, Lee-Ming Institute of Technology,Dept. of Information Technology,New Taipei City,Taiwan

4. Fu Jen Catholic University,Department of Computer Science and Information Engineering,New Taipei City,Taiwan R.O.C

5. Lee-Ming Institute of Technology,Dept. of Digital Multimedia,New Taipei City,Taiwan

6. Lee-Ming Institute of Technology,Dept. of Fashion Business Management,New Taipei City,Taiwan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10013950/10014027/10014125.pdf?arnumber=10014125

Reference5 articles.

1. Smart Water Meter using Power Line Communication (PLC) Approach for measurements of Accurate Water Consumption and Billing Process

2. Light-Weight Spliced Convolution Network-Based Automatic Water Meter Reading in Smart City

3. LoRaWAN Network Capacity Analysis for Smart Water Grid

4. Digitisation of Conventional Water Meters using Automated Number Recognition

5. Water Conservation Control by using IoT Smart Meter

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