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Research Article |

IntelligentGuard: Smart Doorbell with Deep Learning for Secure User Recognition and Instant Notifications

Author(s): Md Reazul Islam1, Khondokar Oliullah2,Dr. Rajarshi Roy Chowdhury3,Shaikat Das Joy4,M M Fazle Rabbi5

Published In : International Journal of Electrical and Electronics Research (IJEER)        Volume 13, Issue 2

Publisher : FOREX Publication

Published : 30 June 2025

e-ISSN : 2347-470X

Page(s) : 353-363

DOI: https://doi.org/10.37391/IJEER.130220

Abstract

In the modern world, daily activities are heavily reliant on the Internet. This study aims to provide users with a simple, personalized technology that effectively manages visitor interactions. The primary objectives are to operate the doorbell intelligently and notify users about visitors by sending a notification with an image of an unknown visitor. This system introduces a low-cost Internet of Things (IoT) smart doorbell designed to enhance home security, utilizing a Raspberry Pi and a camera sensor. Camera sensor is used to capture images in front of the doorbell, which are then processed by the Raspberry Pi and sent to the server. The pre-trained deep learning model kept on a remote server checks the captured image whether it is known or unknown; if it is unknown, a new photo is taken. The proposed hybrid CNN-LSTM model achieves 98% accuracy on the collected dataset and 96.1% accuracy on the Human Faces dataset from Kaggle. This device is utilized to remotely monitor activities outside the door and receive notifications when visitors approach the doorbell using a user-friendly mobile application. This modern security doorbell requires minimal installation tools and lacks interior wiring. In the proposed system, the ESP32-CAM sensor detects visitors and announces their names if they are recognized as known individuals; otherwise, they are labeled as strangers. All relevant details, including timestamps, are promptly sent to the user's mobile application for real-time monitoring.

Keywords: Doorbell, Face Recognition, Deep Learning, , Internet of Things (IoT), Human Face Detection.




Md Reazul Islam,Assistant Professor, Department of Computer Science, American International University-Bangladesh, Dhaka, Bangladesh; Email: reazul@aiub.edu

Khondokar Oliullah,Lecturer, Department of Information and Communication Technology, Comilla University, Bangladesh; Email: oliullah@cou.ac.bd

Dr. Rajarshi Roy Chowdhury ,Assistant Professor, Department of Computer Science, American International University-Bangladesh, Dhaka, Bangladesh; Email: rajarshi@aiub.edu

Shaikat Das Joy , Department of Computer Science, American International University-Bangladesh, Dhaka, Bangladesh; Email: skdas@aiub.edu

M M Fazle Rabbi ,Assistant Professor, Bangladesh University of Business and Technology, Dhaka, Bangladesh; Email: rabbi@bubt.edu.bd

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Md Reazul Islam, Khondokar Oliullah, Dr. Rajarshi Roy Chowdhury, Shaikat Das Joy, and M M Fazle Rabbi(2025), IntelligentGuard: Smart Doorbell with Deep Learning for Secure User Recognition and Instant Notifications. IJEER 13(2), 353-363. DOI: 10.37391/IJEER.130220.