IDEAS home Printed from https://ideas.repec.org/a/etm/ijsrst/v12y2025i5id1186.html

IoT-Enabled Driving License Verification and Alcohol Detection System for Intelligent Vehicle Safety

Author

Listed:
  • Kalyani Suryawanshi
  • Sonal John

Abstract

Road safety remains a global concern due to rising traffic accidents caused by unauthorized driving and impaired conditions. This paper presents an IoT-enabled Driving License Verification and Alcohol Detection System designed to enhance vehicle access control and ensure responsible driving practices. The proposed model integrates a NodeMCU (ESP8266) microcontroller as the central controller, interfacing with an RFID reader for license authentication and an MQ-series alcohol sensor for sobriety detection. Upon detecting an invalid license or alcohol consumption, the system triggers a relay to disable the ignition and may employ a DC gear motor for physical locking of critical components. Real-time system status is communicated via a 16×2 LCD and voice alerts, while a web and Android application provide remote monitoring, data logging, and notifications for authorities or vehicle owners. The system demonstrates a scalable, cost-effective, and non-intrusive solution to reduce road accidents, making it highly suitable for personal vehicles, fleet management, and public transportation systems. By leveraging IoT and automation, the solution contributes to smarter traffic management and safer roads.

Suggested Citation

  • Kalyani Suryawanshi & Sonal John, 2025. "IoT-Enabled Driving License Verification and Alcohol Detection System for Intelligent Vehicle Safety," International Journal of Scientific Research in Science and Technology, Technoscience Academy, vol. 12(5), pages 210-214, October.
    • Handle: RePEc:etm:ijsrst:v12:y2025:i5:id:1186
    DOI: 10.32628/IJSRST25125126
    as

    Download full text from publisher

    File URL: https://ijsrst.com/home/article/view/IJSRST25125126
    File Function: Abstract page
    Download Restriction: no
    File URL: https://ijsrst.com/home/article/download/IJSRST25125126/IJSRST25125126
    File Function: Full text
    Download Restriction: no
    File URL: https://libkey.io/10.32628/IJSRST25125126?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:etm:ijsrst:v12:y2025:i5:id:1186. 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 (email available below). General contact details of provider: https://ijsrst.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.