Room surveillance using convolutional neural networks based computer vision system
College
Gokongwei College of Engineering
Department/Unit
Electronics And Communications Engg
Document Type
Article
Source Title
International Journal of Advanced Trends in Computer Science and Engineering
Volume
9
Issue
4
First Page
6700
Last Page
6705
Publication Date
7-1-2020
Abstract
Intelligent systems are capable of performing several tasks with high reliability and efficiency. Hence, these systems were used to perform tasks which are usually done by humans. In the event of facility breach or in times when primary security systems were compromised, a call for secondary line of security is needed. In this study, it is intended to design a convolutional neural network-based computer vision system that can possibly determine whether a person entering a vicinity is authorized or not using face, height, and built recognition with gender sensitivity. The designed system was able to obtain balanced precision and recall as well as achieving more than 0.9 F1 scores. This is a complementary technology that can work with automated locks or security systems. © 2020, World Academy of Research in Science and Engineering. All rights reserved.
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Digitial Object Identifier (DOI)
10.30534/ijatcse/2020/364942020
Recommended Citation
Navea, R. R. (2020). Room surveillance using convolutional neural networks based computer vision system. International Journal of Advanced Trends in Computer Science and Engineering, 9 (4), 6700-6705. https://doi.org/10.30534/ijatcse/2020/364942020
Disciplines
Electrical and Computer Engineering | Electrical and Electronics
Keywords
Closed-circuit television; Television in security systems; Face perception
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