IDEAS home Printed from https://ideas.repec.org/a/epw/ejece0/v5y2021i3id19328.html

Applications and Recent Development of DTMF Based Technology in Home Automation

Author

Listed:
  • Ayodele S. Oluwole

    (Federal University Oye-Ekiti, Nigeria)

  • O. P. Odekunle

    (Federal University Oye-Ekiti, Nigeria)

  • E. Olubakinde

    (Federal Polytechnic, Ile-Oluji, Nigeria)

Abstract

Recent technological advancements have made things in an efficient manner. This paper presents the overall design of Dual-tone multi-frequency (DTMF) signaling with little cost and establishes a new pattern for home automation developments. The benefits of a DTMF system is that it may be controlled remotely from afar, effectively saves energy, minimizes human stress. One of the most developing trends in home appliance control innovation is DTMF-based home automation technology using Arduino. In order to make this project work, an Arduino Uno was used. This is primarily about the ATmega328 microcontroller (MCU). It comprises of 14 digital output/input pins, analogue inputs of about 6 ports, a USB port for programming the onboard microcontroller, an ICSP header, a power jack, and a reset button. DTMF can be realized using numerous approaches for example, Discrete Fourier Transform (DFT), and Genetic Algorithm (GA). These techniques are generally analyzed using MATLAB, GUI, and FPGAs. DFT procedure has the shortcoming of power overwhelming and necessitates supplementary hardware. The system design in this project work was implemented with C++ programming languages on the Arduino IDE software. The circuit diagrams were modeled using the use of Proteus software.

Suggested Citation

  • Ayodele S. Oluwole & O. P. Odekunle & E. Olubakinde, 2021. "Applications and Recent Development of DTMF Based Technology in Home Automation," European Journal of Electrical Engineering and Computer Science, European Open Science, vol. 5(3), pages 60-67, May.
  • Handle: RePEc:epw:ejece0:v:5:y:2021:i:3:id:19328
    DOI: 10.24018/ejece.2021.5.3.328
    as

    Download full text from publisher

    File URL: https://eu-opensci.org/index.php/ejece/article/view/19328
    File Function: Abstract page
    Download Restriction: no

    File URL: https://eu-opensci.org/index.php/ejece/article/download/19328/11172
    File Function: Full text
    Download Restriction: no

    File URL: https://libkey.io/10.24018/ejece.2021.5.3.328?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:epw:ejece0:v:5:y:2021:i:3:id:19328. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: support (email available below). General contact details of provider: https://eu-opensci.org/index.php/ejece .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.