UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
Volume 13 | Issue 3 | March 2026

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Published in:

Volume 12 Issue 5
May-2025
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Unique Identifier

Published Paper ID:
JETIR2505A41


Registration ID:
563199

Page Number

j440-j446

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Title

Face Recognition Door Lock System Using Raspberry-Pi

Abstract

The project aims in designing a “Face Recognition Door Lock System Using Raspberry-Pi” Smart Receptionist with smart lock system is mainly designed and developed for security systems. This smart security system is used to see a visitor when the main door of the office or Home is closed. Today we face security issues in each angle. So we attempt to determine these issues by utilizing refreshed innovation. During this task, we are utilizing the Face acknowledgment module to catch human pictures and saving in a data base. Assuming it Image matches with the data base then door will be opened by an electromagnetic lock with help of lock. The use of face recognition system that's accurately detect all unauthorized users from highly secured areas and aids in minimizing human error. Face recognition system is one of the highest security system when compared with finger print locking system and also password based security system. The time and accuracy factor is taken into account about the main problem which specifies the performance of automatic face recognition in real-time environments. If you're within the middle of a meeting in a conference room and there's a visitor at the door, this technique will send a notification to your smartphone with a photograph of the visitor as email. Security is one of the most critical concerns in both residential and commercial spaces. Traditional security systems, such as manual locks and password-based systems, pose risks due to unauthorized access and password leaks. The Smart Door Receptionist with Smart Lock System integrates face recognition, IoT, and Raspberry Pi-based automation to enhance security and streamline access control. The system employs a Pi camera, Raspberry Pi 4, solenoid lock, and relay module to authenticate visitors using facial recognition. If the visitor is recognized, the door unlocks automatically; otherwise, an alert is sent to the homeowner's smartphone for manual approval.

Key Words

Smart Lock, Face Recognition, IoT Security, Raspberry Pi, Automated Access Control, Smart Door Receptionist

Cite This Article

"Face Recognition Door Lock System Using Raspberry-Pi", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 5, page no.j440-j446, May-2025, Available :http://www.jetir.org/papers/JETIR2505A41.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Face Recognition Door Lock System Using Raspberry-Pi", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 5, page no. ppj440-j446, May-2025, Available at : http://www.jetir.org/papers/JETIR2505A41.pdf

Publication Details

Published Paper ID: JETIR2505A41
Registration ID: 563199
Published In: Volume 12 | Issue 5 | Year May-2025
DOI (Digital Object Identifier):
Page No: j440-j446
Country: Nashik, Maharashtra, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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