Face Recognition Deploying Smart IoT System

In the modern world, we rely on the Internet to meet our needs for peer-to-peer services, email, and online browsing. IoT, or the Internet of Things, refers to a physical object that has an Internet protocol address and can communicate with other internet-enabled devices. Here, the most crucial thing is to instantly guarantee security between the communication devices. This paper introduces an intelligent IoT face recognition system designed and implemented using Raspberry Pi and Node-RED. The system captures face images through a camera module for face recognition. The key parts of the system include hardware connection, software installation and configuration, function implementation, and system testing and verification. Experimental results show that the system can reliably provide access control, attendance management, and smart home control functions in actual application scenarios, providing an effective solution for IoT deployment. Through this study, we show how to use existing technologies to build an intelligent IoT application, providing a reference for future research and development.

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Publication Details

Published
2024-09-09
DOI
https://doi.org/10.1109/atnt61688.2024.10719084
Citations
1
Primary Topic
IoT-based Smart Home Systems
Type
article
Field-Weighted Citation Impact
0.21
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article

Face Recognition Deploying Smart IoT System

Nazri Nasir, Marwa A.A. Ragab, Rozeha Binti A. Rashid, Mohd Adib Sarijari et al.
1 citations
IoT-based Smart Home Systems
0.21
article

Face Recognition Deploying Smart IoT System

Nazri Nasir, Marwa A.A. Ragab, Rozeha Binti A. Rashid, Mohd Adib Sarijari, Muhammad Hadi Sihlbi, Wang Chuanzhao
article en
1 citations

Abstract

In the modern world, we rely on the Internet to meet our needs for peer-to-peer services, email, and online browsing. IoT, or the Internet of Things, refers to a physical object that has an Internet protocol address and can communicate with other internet-enabled devices. Here, the most crucial thing is to instantly guarantee security between the communication devices. This paper introduces an intelligent IoT face recognition system designed and implemented using Raspberry Pi and Node-RED. The system captures face images through a camera module for face recognition. The key parts of the system include hardware connection, software installation and configuration, function implementation, and system testing and verification. Experimental results show that the system can reliably provide access control, attendance management, and smart home control functions in actual application scenarios, providing an effective solution for IoT deployment. Through this study, we show how to use existing technologies to build an intelligent IoT application, providing a reference for future research and development.

Newcastle University Medicine Malaysia (MY)
Industry, innovation and infrastructure
Openalex Percentile: Top 47%
IoT-based Smart Home Systems
0.21
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