Principal Component Analysis Method for Image Segmentation of Smart Meter Digital

DOI

10.2991/ahe.k.210205.097How to use a DOI?

Keywords

Smart Meter Digital, Image Processing, PCA

Abstract

The digital kWh meter is a device that can measure the consumption of electrical power in electrical equipment. This paper presents an approach to recognize numeric characters on the kWh meter image by implementing principal component analysis for segmentation. Research methodology contains two phases, pre-processing and recognition for image processing. The performance of the proposed approach is evaluated by developing the prototype of a nonreal-time system to recognize numeric characters contained on image and use a dataset of Smart Meter Indonesia Model of kWh Meter images as input for testing. In terms of effectiveness, the experimental result shows accuracy up to 90% on average for kWh Meter digital recognition. It represents correctness in reading the value measured by kWh Meter.

Copyright

© 2021, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Husnawati
AU  - Shinta Puspasari
AU  - Rian Rahmanda Putra
PY  - 2021
DA  - 2021/02/09
TI  - Principal Component Analysis Method for Image Segmentation of Smart Meter Digital
BT  - Proceedings of the 4th Forum in Research, Science, and Technology (FIRST-T1-T2-2020)
PB  - Atlantis Press
SP  - 584
EP  - 589
SN  - 2589-4943
UR  - https://doi.org/10.2991/ahe.k.210205.097
DO  - 10.2991/ahe.k.210205.097
ID  - 2021
ER  -