A cost-effective automatic dial meter reader using a lightweight convolutional neural network

Cheng Hung Lin, Kuan Yi Kuo

研究成果: 書貢獻/報告類型會議論文篇章

1 引文 斯高帕斯(Scopus)

摘要

With the vigorous development of the Internet of Things technology, the government has gradually phased out the traditional meter and began the era of smart meters. However, the replacement of smart meters is expensive and the yield is too low, which has led to the slow deployment of smart meters. Our idea is to develop a low-cost alternative solution that uses an edge device with a camera to automatically identify traditional electric dial meters, and then uploads the identified value to cloud servers. In the past, there have been studies to automatically read dial meters through traditional image segmentation methods. However, because traditional electric meters are mostly set in an environment with high concealment, dim light, and dirt, it is difficult for traditional methods to obtain good identification results for unclear meter images. In this paper, we propose a cost-effective automatic dial meter reader with a lightweight convolutional neural network on edge devices. In order to easily deploy and improve the accuracy of dial meter recognition, the proposed meter reader has the ability to automatically adjust tilt meter images. Experimental results show that the proposed lightweight convolutional neural network achieves significant improvements in segmentation errors, false positives, and elapsed time compared with the relative approaches.

原文英語
主出版物標題Proceedings - 2020 13th International Conference on Human System Interaction, HSI 2020
發行者IEEE Computer Society
頁面9-13
頁數5
ISBN(電子)9781728173924
DOIs
出版狀態已發佈 - 2020 6月
事件13th International Conference on Human System Interaction, HSI 2020 - Tokyo, 日本
持續時間: 2020 6月 62020 6月 8

出版系列

名字International Conference on Human System Interaction, HSI
2020-June
ISSN(列印)2158-2246
ISSN(電子)2158-2254

會議

會議13th International Conference on Human System Interaction, HSI 2020
國家/地區日本
城市Tokyo
期間2020/06/062020/06/08

ASJC Scopus subject areas

  • 人機介面
  • 軟體

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