• Login
    • University Home
    • Library Home
    • Lib Catalogue
    • Advance Search
    View Item 
    •   KDU-Repository Home
    • INTERNATIONAL RESEARCH CONFERENCE ARTICLES (KDU IRC)
    • 2016 IRC Articles
    • Engineering, Built Environment & Spatial Sciences
    • View Item
    •   KDU-Repository Home
    • INTERNATIONAL RESEARCH CONFERENCE ARTICLES (KDU IRC)
    • 2016 IRC Articles
    • Engineering, Built Environment & Spatial Sciences
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Android Application for Automating the CEB Meter Reading System

    Thumbnail
    View/Open
    ENG-006.pdf (749.3Kb)
    Date
    2016
    Author
    Karunathilake, KDTR
    Wanniarachchi, ST
    Weerawardhane, TL
    Wijesinghe, WLPK
    Metadata
    Show full item record
    Abstract
    Currently CEB is facing quite a lot of problems in obtaining meter reading from customers due to circumstances such as house owner is out of the house by the time the reader visits or because the readers undergo difficulties in reaching the meter due to pets of house owners such as dogs. Hence the objective of this research is to develop a system to automate the process of obtaining the meter reading to cater the identified issue. To address this matter a method inculcating an android application and an image processing techniques is proposed. So the basic idea behind the research is developing an application through which the CEB meter reading can be directly uploaded to the database by capturing an image of the household electric meter using a mobile phone. This process is divided into four steps; Android app development, web service to send the image to server, image processing and bill calculation. Image processing which is the core area of this research is carried out via MATLAB. The system is developed to suit different higher android versions starting from the android version "honeycomb". The number recognition capability of this image processing technique is tested for 110 different real samples of images obtained from phone cameras with different resolutions. Accuracy of detection of individual digits has been tested and an overall success rate of 90% is obtained.
    URI
    http://ir.kdu.ac.lk/handle/345/1086
    Collections
    • Engineering, Built Environment & Spatial Sciences [51]

    Library copyright © 2017  General Sir John Kotelawala Defence University, Sri Lanka
    Contact Us | Send Feedback
     

     

    Browse

    All of KDU RepositoryCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsFacultyDocument TypeThis CollectionBy Issue DateAuthorsTitlesSubjectsFacultyDocument Type

    My Account

    LoginRegister

    Library copyright © 2017  General Sir John Kotelawala Defence University, Sri Lanka
    Contact Us | Send Feedback