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Face recognition approach for smart Internet of Things in home security system

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Abstract

The primary issue in today's environment is home security. The conventional home security techniques are incredibly easy to breach and encourage burglary. In this case, it must set up an expensive security system in order to defend the house. This study offers an Internet of Things (IoT)-based approach where it can put up a smart home security system to address this issue. This paper proposes a smart home security system that efficiently protects our houses while being affordable and reliable by utilizing the IoT and face recognition technology. We can quickly identify guests at the door using the real-time face recognition capability, and we can send the homeowner a notification on their preferred notification platform. For face recognition, a YOLOv5 algorithm is implemented and different models of this algorithm are evaluated. The effectiveness of these models was trained and assessed using a dataset of 500 photographs that included 50 different people. In this system, if the person's image matches that of a relative or other recognized person, the door will unlock. Finally, the performance of the proposed system in face recognition is evaluated and observed that the method present satisfied accuracy with a good accuracy.

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Acknowledgements

This study was acknowledged by Key Scientific Research Projects of Shaoxing University Yuanpei College (KY2021C01).

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  1. Information and Mechanical and Electrical Engineering Branch, Shaoxing University Yuanpei College, Shaoxing, 312000, Zhejiang, China

    Yanfeng Fang & Yijiang Zhang

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  1. Yanfeng Fang
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  2. Yijiang Zhang
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Correspondence to Yijiang Zhang.

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Fang, Y., Zhang, Y. Face recognition approach for smart Internet of Things in home security system. J Opt 53, 1203–1209 (2024). https://doi.org/10.1007/s12596-023-01242-6

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