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Journal of Intelligent Systems and Internet of Things
Volume 10 , Issue 2, PP: 18-23 , 2023 | Cite this article as | XML | Html |PDF

Title

Distributed Facial Recognition Facial Recognition in Visual Internet of Things (VIoT) An Intelligent Approach

  Luis Freire Lescano 1 * ,   Marcos Lalama Flores 2 ,   Maria Pico Pico 3

1  Universidad Regional Autonoma de los Andes (UNIANDES), Ecuador
    (ciad@uniandes.edu.ec)

2  Universidad Regional Autonoma de los Andes (UNIANDES), Ecuador
    (ua.marcoslalama@uniandes.edu.ec)

3  Universidad Regional Autonoma de los Andes (UNIANDES), Ecuador
    (ua.mariapico@uniandes.edu.ec)

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Doi   :   https://doi.org/10.54216/JISIoT.100202

Received: April 09, 2023 Revised: June 28, 2023 Accepted: September 26, 2023

Abstract :

In the rapidly evolving landscape of the Visual Internet of Things (VIoT), this paper presents a pioneering approach to distributed facial expression recognition—an intelligent system that holds transformative potential for security, human-computer interaction, and personalized services. Our journey unfolds with the development of the Light Vision Transformer (LVT) model, specifically engineered to operate on the resource-constrained edges of the VIoT network. Differentially private federated training ensures both the model's prowess and the preservation of user privacy. Through meticulous experimental evaluations, we validate the effectiveness and efficiency of our approach, shedding light on its scalability and ethical implications. This work is more than a technical endeavor; it symbolizes a commitment to responsible AI, balancing innovation with the preservation of individual rights. Our findings resonate beyond facial expression recognition, serving as a beacon for the VIoT community to explore the dynamic interplay between distributed computing, edge intelligence, and ethical considerations. As we stride towards a more connected and responsive world, this research paves the way for continued exploration, propelling VIoT technology towards a future that is both intelligent and ethically attuned.

Keywords :

Facial Recognition; Visual Internet of Things (VIoT); Distributed Computing; Intelligent Systems; Edge Computing; Internet of Things (IoT); Distributed Systems; Edge Devices; VIoT Applications; VIoT Architecture.

References :

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[8] Liu, Y. L., Yan, W., & Hu, B. (2021). Resistance to facial recognition payment in China: The influence of privacy-related factors. Telecommunications Policy, 45(5), 102155.

[9] North-Samardzic, A. (2020). Biometric technology and ethics: Beyond security applications. Journal of Business Ethics, 167(3), 433-450.

[10]Ketley, I. T. (2022, July). Case study: Code of ethics for facial recognition technology. In Proceedings of the Wellington Faculty of Engineering Ethics and Sustainability Symposium.

[11] Ketley, I. T. (2022, July). Case study: Code of ethics for facial recognition technology. In Proceedings of the Wellington Faculty of Engineering Ethics and Sustainability Symposium.

[12] Kartikey, V., & Arora, J. (2023, July). Security of Smart Premises to Prevent Unauthorized Entrance by using IoT Enabled Face Recognition Technique. In 2023 2nd International Conference on Edge Computing and Applications (ICECAA) (pp. 1283-1287). IEEE.

[13] Beltrán, M., & Calvo, M. (2023). A privacy threat model for identity verification based on facial recognition. Computers & Security, 103324.

[14] Zuberi, A. H., & Ahmad, S. (2023). IoT Based Smart Alert Network Security System Using Machine Learning. International Journal of Innovative Research in Computer Science & Technology, 11(4), 15-22.

[15] Qinjun, L., Tianwei, C., Yan, Z., & Yuying, W. Facial Recognition Technology: A Comprehensive Overview. Academic Journal of Computing & Information Science, 6(7), 15-26.

Cite this Article as :
Style #
MLA Luis Freire Lescano, Marcos Lalama Flores, Maria Pico Pico. "Distributed Facial Recognition Facial Recognition in Visual Internet of Things (VIoT) An Intelligent Approach." Journal of Intelligent Systems and Internet of Things, Vol. 10, No. 2, 2023 ,PP. 18-23 (Doi   :  https://doi.org/10.54216/JISIoT.100202)
APA Luis Freire Lescano, Marcos Lalama Flores, Maria Pico Pico. (2023). Distributed Facial Recognition Facial Recognition in Visual Internet of Things (VIoT) An Intelligent Approach. Journal of Journal of Intelligent Systems and Internet of Things, 10 ( 2 ), 18-23 (Doi   :  https://doi.org/10.54216/JISIoT.100202)
Chicago Luis Freire Lescano, Marcos Lalama Flores, Maria Pico Pico. "Distributed Facial Recognition Facial Recognition in Visual Internet of Things (VIoT) An Intelligent Approach." Journal of Journal of Intelligent Systems and Internet of Things, 10 no. 2 (2023): 18-23 (Doi   :  https://doi.org/10.54216/JISIoT.100202)
Harvard Luis Freire Lescano, Marcos Lalama Flores, Maria Pico Pico. (2023). Distributed Facial Recognition Facial Recognition in Visual Internet of Things (VIoT) An Intelligent Approach. Journal of Journal of Intelligent Systems and Internet of Things, 10 ( 2 ), 18-23 (Doi   :  https://doi.org/10.54216/JISIoT.100202)
Vancouver Luis Freire Lescano, Marcos Lalama Flores, Maria Pico Pico. Distributed Facial Recognition Facial Recognition in Visual Internet of Things (VIoT) An Intelligent Approach. Journal of Journal of Intelligent Systems and Internet of Things, (2023); 10 ( 2 ): 18-23 (Doi   :  https://doi.org/10.54216/JISIoT.100202)
IEEE Luis Freire Lescano, Marcos Lalama Flores, Maria Pico Pico, Distributed Facial Recognition Facial Recognition in Visual Internet of Things (VIoT) An Intelligent Approach, Journal of Journal of Intelligent Systems and Internet of Things, Vol. 10 , No. 2 , (2023) : 18-23 (Doi   :  https://doi.org/10.54216/JISIoT.100202)
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