[go: up one dir, main page]
More Web Proxy on the site http://driver.im/ skip to main content
10.1145/3330089.3330105acmotherconferencesArticle/Chapter ViewAbstractPublication PagesicsentConference Proceedingsconference-collections
research-article

Automatic approach for the extraction of indexes of electric meters and water

Published: 26 December 2018 Publication History

Abstract

The water meter is used as a gadget in order to calculate water consumption. This gadget use a water flow and shows an arithmetic result with a mechanical number counter. In practice, The operator manually checks the number counter periodically. The operator makes records of the number displays by the water meter for water consumption. This process takes time and is Vulnerable to human error. In this article, we suggest an Android mobile device that calculates water consumption for the customer in real time. By owning applications that support Android smartphones, Customers can have access to their water bill at any time by creating their own account. when the subscriber account is created, the subscriber can take a picture of the water meter that will then be sent to the server for processing, and the level of consumption and any alerts will be definitely transferred to the user on his smartphone according to the picture sent. absolutely, the client will use this application by connecting to the internet.

References

[1]
Vanetti M, Gallo I and Nodari A 2013 GAS meter reading from real world images using a multinet system Pattern Recognition Letters 34 519.
[2]
Nodari A and Gallo I 2011 A Multi-Neural Network Approach to Image Detection and Segmentation of Gas Meter Counter Proc. IAPR Conf. on Machine Vision Applications (Nara, Japan).
[3]
Gallo I, Zamberletti A and Noce L 2015 Robust Angle Invariant GAS meter reading Proc. Int. Conf. on Digital Image Computing: Techniques and Applications (DICTA) p 1.
[4]
Ye Q and Doermann D 2015 Text Detection and Recognition in Imagery: A Survey. IEEE Transactions on Pattern Analysis and Machine Intelligence 37 1480.
[5]
Zhang H, Zhao K, Song YZ, and Guo J 2013 Text Extraction from Natural Scene Image: A Survey. Neurocomputing 122 310.
[6]
Gonzalez A and Bergasa LM 2013 A Text Reading Algorithm for Natural Images. Image and Vision Computing 31 255.
[7]
Sun L, Huo Q, Jia W, Chen K 2015 A Robust Approach for Text Detection from Natural Scene Images Pattern Recognition 48 2906.
[8]
Liu J, Su H, Yi Y, and Hu W 2015 Robust Text Detection Via Multi-Degree of Sharpening and Blurring Signal Processing 124 259.
[9]
Minetto R, Thome N, Cord M, Leite NJ, and Stolfi J 2014 SnooperText: A Text Detection System for Automatic Indexing of Urban Scenes Computer Vision and Image Understanding 122 92.
[10]
Azam S and Islam MM 2016 Automatic License Plate Detection in Hazardous Condition Journal of Visual Communication and Image Representation 36 172.
[11]
Wang Y, Ban X, Chen J, Hu B, and Yang X 2016 License Plate Recognition Based on SIFT Feature Optik - International Journal for Light and Electron Optics 126 2895.
[12]
Neto EC, Gomes SL, Filho PPR, and de Albuquerque VHC 2015 Brazilian Vehicle Identification Using A New Embedded Plate Recognition System Measurement 70 36.
[13]
Tian J, Wang R, Wang G, Liu J, and Xia Y 2015 A Two-Stage Character Segmentation Method For Chinese License Plate Computers & Electrical Engineering 46 539.
[14]
N Jawas and Indrianto Image based automatic water meter reader IOP Conf. Series: Journal of Physics: Conf. Series 953 (2018).

Index Terms

  1. Automatic approach for the extraction of indexes of electric meters and water

    Recommendations

    Comments

    Please enable JavaScript to view thecomments powered by Disqus.

    Information & Contributors

    Information

    Published In

    cover image ACM Other conferences
    ICSENT 2018: Proceedings of the 7th International Conference on Software Engineering and New Technologies
    December 2018
    201 pages
    ISBN:9781450361019
    DOI:10.1145/3330089
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 26 December 2018

    Permissions

    Request permissions for this article.

    Check for updates

    Author Tags

    1. character recognition
    2. eigenfaces method
    3. viola jones method

    Qualifiers

    • Research-article
    • Research
    • Refereed limited

    Conference

    ICSENT 2018

    Contributors

    Other Metrics

    Bibliometrics & Citations

    Bibliometrics

    Article Metrics

    • 0
      Total Citations
    • 32
      Total Downloads
    • Downloads (Last 12 months)0
    • Downloads (Last 6 weeks)0
    Reflects downloads up to 23 Dec 2024

    Other Metrics

    Citations

    View Options

    Login options

    View options

    PDF

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader

    Media

    Figures

    Other

    Tables

    Share

    Share

    Share this Publication link

    Share on social media