IDEAS home Printed from https://ideas.repec.org/a/etm/ijsrst/v12y2025i6id1290.html

Smart Door Unlock System Using Face Recognition and RFID with IR-Based Exit and Emergency Override

Author

Listed:
  • N. M. Bajpai
  • Praful Katole
  • Khushboo Rahangdale
  • Buddhbhushan Gaikwad
  • Ketan Dewhare

Abstract

This paper presents the design and implementation of a smart door unlock system that integrates face recognition, RFID authentication, IR-based exit detection, and an emergency override mechanism. The system is developed to address the limitations of traditional lock-and-key mechanisms, which are prone to duplication, loss, and lack of real-time monitoring. The proposed solution leverages Raspberry Pi camera module for image processing, RC522 RFID reader for card-based authentication, and an IR sensor for automated exit detection. A servo motor is used to control the door lock, while an emergency push button ensures accessibility during critical situations. The system is supported by a centralized admin panel that manages users, logs access events, and provides real-time monitoring. The prototype demonstrates cost-effectiveness, scalability, and practical applicability in residential, institutional, and industrial environments. Experimental results show reliable authentication, quick response time, and robust performance under varying conditions.

Suggested Citation

  • N. M. Bajpai & Praful Katole & Khushboo Rahangdale & Buddhbhushan Gaikwad & Ketan Dewhare, 2025. "Smart Door Unlock System Using Face Recognition and RFID with IR-Based Exit and Emergency Override," International Journal of Scientific Research in Science and Technology, Technoscience Academy, vol. 12(6), pages 316-319, December.
    • Handle: RePEc:etm:ijsrst:v12:y2025:i6:id:1290
    DOI: 10.32628/IJSRST25126337
    as

    Download full text from publisher

    File URL: https://ijsrst.com/home/article/view/IJSRST25126337
    File Function: Abstract page
    Download Restriction: no
    File URL: https://ijsrst.com/home/article/download/IJSRST25126337/IJSRST25126337
    File Function: Full text
    Download Restriction: no
    File URL: https://libkey.io/10.32628/IJSRST25126337?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:i6:id:1290. 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.