IDEAS home Printed from https://ideas.repec.org/a/epw/ejeng0/v7y2022i2id62761.html

Table Token Generator and Indicator in Restaurant using Micro-controller

Author

Listed:
  • Nyme Ahmed

    (American International University, Bangladesh)

  • Methila Farzana Woishe

    (American International University, Bangladesh)

  • Nila Sultana

    (American International University, Bangladesh)

  • Tamanna Zaman Bristy

    (American International University, Bangladesh)

Abstract

Over the years, technology has vastly modernized the restaurant industry. Much of the innovation has been with Point of Sale (POS) operations. But still there is some scope to improve the customer service. In this paper, we proposed a solution that makes interacting with waiters much easier, faster, and more convenient. There are few systems which are being developed in Arduino as a table token system. As a microcontroller, Arduino is an advantageous hardware that can be programmed to be used for a variety of applications. This study is based on giving a better experience to customers by improving the response time. Instead of yelling or using some bells, customers can generate a token by pushing a button. With this the waiter can be informed which table needs attention and quickly respond to the needs of the customer. Moreover, this will allow the customers to experience a quiet and fine dining atmosphere which in future will insure better customer loyalty and profit for the restaurant. In a nutshell, this paper deals with designing a system that will make interacting with waiters as well as serving customer smoother and more affordable.

Suggested Citation

  • Nyme Ahmed & Methila Farzana Woishe & Nila Sultana & Tamanna Zaman Bristy, 2022. "Table Token Generator and Indicator in Restaurant using Micro-controller," European Journal of Engineering and Technology Research, European Open Science, vol. 7(2), pages 55-60, March.
  • Handle: RePEc:epw:ejeng0:v:7:y:2022:i:2:id:62761
    DOI: 10.24018/ejeng.2022.7.2.2761
    as

    Download full text from publisher

    File URL: https://eu-opensci.org/index.php/ejeng/article/view/62761
    File Function: Abstract page
    Download Restriction: no

    File URL: https://eu-opensci.org/index.php/ejeng/article/download/62761/12795
    File Function: Full text
    Download Restriction: no

    File URL: https://libkey.io/10.24018/ejeng.2022.7.2.2761?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:ejeng0:v:7:y:2022:i:2:id:62761. 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/ejeng .

    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.