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Face Recognition Using VGG16 CNN Architecture for Enhanced Security Surveillance—A Survey

Alashiri, Olaitan and Adewale, Adeyinka A. and Misra, Sanjay and Agrawal, Akshat and Ahuja, Ravin and Jonathan, Oluranti (2022) Face Recognition Using VGG16 CNN Architecture for Enhanced Security Surveillance—A Survey. In: Futuristic Trends in Networks and Computing Technologies, 16 November 2022, Online.

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Abstract

A review of the web camera surveillance, face recognition, convolution neural network (CNN), digital images are presented in this work. Previous works on face recognition systems for enhanced surveillance-based security are presented together with relevant deep learning concepts and theories relating to convolutional neural networks. In-depth analysis is summarized and presented in concise way.

Item Type: Conference or Workshop Item (Paper)
Subjects: Q Science > QA Mathematics
Q Science > QA Mathematics > QA76 Computer software
Divisions: Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science
Depositing User: Patricia Nwokealisi
Date Deposited: 29 Jul 2024 15:25
Last Modified: 29 Jul 2024 15:25
URI: http://eprints.covenantuniversity.edu.ng/id/eprint/18325

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