IDEAS home Printed from https://ideas.repec.org/a/jbh/ijsrcs/v4y2018i6idhcseit184696.html

Smart Energy Utilization On Demand Using Image Processing

Author

Listed:
  • Dimple B M
  • Nandini S
  • Kokila Venugopal
  • Thanuja K S
  • Chaya P

Abstract

Life without electricity can never be imagined in this world, so it’s every human duty to save electricity. But due to the busy schedule existing in present, often many of us forget to switch off lights and fans which increase wastage of electricity. Often we find lights and fans in the monitoring region(MR) is where we perform the operation to detect the motion of the object, will be on though the MR is empty which increases the electricity bill. This is the major issue in most of the educational institutions. Over the past decade, there has been significant advancement and innovations in the field of consumer electronics by using new technologies we can automate the control of main power supply provided to the MR which significantly reduces the power consumption. Automation provides some sort of automatic control to the electrical appliances present in the building. Proposed work demonstrates detection of motion of objects as a parameter to decide whether to switch on/off the power supply.

Suggested Citation

  • Dimple B M & Nandini S & Kokila Venugopal & Thanuja K S & Chaya P, 2018. "Smart Energy Utilization On Demand Using Image Processing," International Journal of Scientific Research in Computer Science, Engineering and Information Technology, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 4(6), pages 516-521, May.
  • Handle: RePEc:jbh:ijsrcs:v4:y2018:i6:id:hcseit184696
    Note: Article URL: https://ijsrcseit.com/CSEIT184696
    as

    Download full text from publisher

    File URL: https://ijsrcseit.com/CSEIT184696
    File Function: Article URL
    Download Restriction: no

    File URL: https://ijsrcseit.com/paper/CSEIT184696.pdf
    File Function: Full text
    Download Restriction: no
    ---><---

    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:jbh:ijsrcs:v4:y2018:i6:id:hcseit184696. 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: Pankaj Sharma (USA) (email available below). General contact details of provider: https://ijsrcseit.com/home .

    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.