An Intelligent Instrument Reader: Using Computer Vision and Machine Learning to Automate Meter Reading

被引：6

作者：

Sowah, Robert A. ^{[1
]}

Ofoli, Abdul R. ^{[2
]}

Mensah-Ananoo, Eugene ^{[1
]}

Mills, Godfrey A. ^{[1
]}

Koumadi, Koudjo M. M. ^{[1
]}

机构：

[1] Univ Ghana, Legon 00233, Accra, Ghana

[2] Univ Tennessee, Chattanooga, TN 37403 USA

来源：

IEEE INDUSTRY APPLICATIONS MAGAZINE | 2021年 / 27卷 / 04期

关键词：

Meters; Training; Feature extraction; Face recognition; Cameras; Shape; Machine learning algorithms;

D O I：

10.1109/MIAS.2021.3063082

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

A novel algorithm using computer vision and machine learning techniques has been developed in this research and applied to automate the reading of analog meters. This approach does not rely on any prior information about the meter being read or any human intervention during the process. High-level features of the meter, including the graduation values and angles, are extracted using a cascade of image contour filters with a series of digit classifiers. The features are refined and used to train regression models that return the reading of the analog meter automatically.

引用

页码：45 / 56

页数：12

共 50 条

[41] Rapid screening of mayonnaise quality using computer vision and machine learning
Metri-Ojeda, Jorge
Solana-Lavalle, Gabriel
Rosas-Romero, Roberto
Palou, Enrique
Milena-Ramirez-Rodrigues, Diana
Baigts-Allende, Diana
JOURNAL OF FOOD MEASUREMENT AND CHARACTERIZATION, 2023, 17 (03) : 2792 - 2804
[42] Vortex and Core Detection using Computer Vision and Machine Learning Methods
Xu, Zhenguo
Maria, Ayush
Chelli, Kahina
De Premare, Thibaut Dumouchel
Bilbao, Xabadin
Petit, Christopher
Zoumboulis-Airey, Robert
Moulitsas, Irene
Teschner, Tom
Asif, Seemal
Li, Jun
EUROPEAN JOURNAL OF COMPUTATIONAL MECHANICS, 2023, 32 (05): : 467 - 493
[43] Integrating Symbolic and Statistical Methods for Testing Intelligent Systems Applications to Machine Learning and Computer Vision
Ramanathan, Arvind
Pullum, Laura L.
Hussain, Faraz
Chakrabarty, Dwaipayan
Jha, Sumit Kumar
PROCEEDINGS OF THE 2016 DESIGN, AUTOMATION & TEST IN EUROPE CONFERENCE & EXHIBITION (DATE), 2016, : 786 - 791
[44] Using Machine Learning to Automate Mammogram Images Analysis
Tang, Xuejiao
Zhang, Liuhua
Zhang, Wenbin
Huang, Xin
Iosifidis, Vasileios
Liu, Zhen
Zhang, Mingli
Messina, Enza
Zhang, Ji
2020 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE, 2020, : 757 - 764
[45] Intelligent energy meter fault prediction based on machine learning
Li Helong
Yu Haibo
Yuan Jinshuai
2019 15TH INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND SECURITY (CIS 2019), 2019, : 296 - 300
[46] Using computer-vision and machine learning to automate facial coding of positive and negative affect intensity (vol 14, e0211735, 2019)
Haines, N.
Southward, M. W.
Cheavens, J. S.
Beauchaine, T.
Ahn, W-Y
PLOS ONE, 2019, 14 (03):
[47] International conference on computer vision and machine learning
Rambabu, Sri Kommareddy
Journal of Physics: Conference Series, 2019, 1228 (01)
[48] Computer vision and machine learning to quantify microstructure
Holm, Elizabeth A.
Cohn, Ryan
Gao, Nan
Kitahara, Andrew R.
Lei, Bo
Yarasi, Srujana Rao
Matson, Thomas P.
Advanced Materials and Processes, 2021, 179 (02): : 13 - 18
[49] Computer vision and machine learning in science fiction
Murphy, Robin R.
SCIENCE ROBOTICS, 2019, 4 (30)
[50] ADVANCED MACHINE LEARNING TECHNIQUES FOR COMPUTER VISION
MOSCATELLI, S
KODRATOFF, Y
LECTURE NOTES IN ARTIFICIAL INTELLIGENCE, 1992, 617 : 161 - 197

← 1 2 3 4 5 →