Smart Door Unlock System with Android App

The security of a room hinges on effective locking mechanisms, particularly when unauthorized access is rigorously prevented. Various methods, such as face detection, voice and speech recognition, password and PIN codes, and biometric technologies, serve as digital keys for door locking and unlocking. With the proliferation of Android devices, these digital keys are increasingly integrated into Android applications. In this research, we present a system designed to achieve two primary objectives. First, ensuring authorization by preventing unauthorized access to secured rooms. Second, facilitating the transfer of authorization to an unauthorized individual in emergency situations. To achieve the first objective, we employed face detection and speech recognition technologies, while for the second, we utilized random one-time passwords. Both functionalities were implemented through Android applications and interfaced with an Arduino Nano via a Bluetooth module. Additional security measures were incorporated using sensors to detect forceful intruder attacks. Our research objective was to devise a system that combines enhanced security measures with cost-effectiveness. Based on the analysis of the results, it is evident that the proposed low-cost solution has demonstrated satisfactory performance, achieving a 98% accuracy rate in securing the home locking system. Consequently, this solution has proven to be both affordable and practical for real-world applications.

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Publication Details

Published
2024-09-27
DOI
https://doi.org/10.1109/tensymp61132.2024.10752104
Primary Topic
IoT-based Smart Home Systems
Type
article
Field-Weighted Citation Impact
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article

Smart Door Unlock System with Android App

Shusmoy Chowdhury, Jeenat Sultana, M. J. Uddin, Moynul Hasan Tushar
IoT-based Smart Home Systems
article

Smart Door Unlock System with Android App

Shusmoy Chowdhury, Jeenat Sultana, M. J. Uddin, Moynul Hasan Tushar
article en

Abstract

The security of a room hinges on effective locking mechanisms, particularly when unauthorized access is rigorously prevented. Various methods, such as face detection, voice and speech recognition, password and PIN codes, and biometric technologies, serve as digital keys for door locking and unlocking. With the proliferation of Android devices, these digital keys are increasingly integrated into Android applications. In this research, we present a system designed to achieve two primary objectives. First, ensuring authorization by preventing unauthorized access to secured rooms. Second, facilitating the transfer of authorization to an unauthorized individual in emergency situations. To achieve the first objective, we employed face detection and speech recognition technologies, while for the second, we utilized random one-time passwords. Both functionalities were implemented through Android applications and interfaced with an Arduino Nano via a Bluetooth module. Additional security measures were incorporated using sensors to detect forceful intruder attacks. Our research objective was to devise a system that combines enhanced security measures with cost-effectiveness. Based on the analysis of the results, it is evident that the proposed low-cost solution has demonstrated satisfactory performance, achieving a 98% accuracy rate in securing the home locking system. Consequently, this solution has proven to be both affordable and practical for real-world applications.

Missouri State University (US), Southern University (BD)
Affordable and clean energy
Openalex Percentile: Top 82%
IoT-based Smart Home Systems
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