Optimization algorithm for embedded Linux remote video monitoring system oriented to the internet of things (IOT)

Wenbo Fu; Debnath Narayan

doi:10.3934/dcdss.2019092

Article Contents

2019, Volume 12, Issue 4&5: 1341-1354. Doi: 10.3934/dcdss.2019092 open access

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Optimization algorithm for embedded Linux remote video monitoring system oriented to the internet of things (IOT)

Wenbo Fu^1, , and
Debnath Narayan^2,

1.
School of Mathematics and Computer Science, Shanxi Datong University, Datong, China
2.
Department of Computer Science, Winona State University, Winona, MN 55987, USA

* Corresponding author: Wenbo Fu
* Corresponding author: Wenbo Fu

Received: July 31, 2017

Revised: December 31, 2017

Published: March 2019

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Abstract

At present, the remote video monitoring system has the problem of weak anti-interference ability and poor response of the system. Therefore, the video image is not clear. On the basis of the Internet of things (IOT), a design method of embedded Linux remote video monitoring system is proposed. The method is based on ARM+Linux development platform, the 301V USB camera of Vimicro is used to collect images, to make preprocessing, and improve the system's response. The embedded Linux operating system is used to realize the functions of data acquisition and transmission of video image. The fractal wavelet of multivariate statistical model is used to denoise the video image so as to improve the anti-interference of the system. The experimental results show that the method has strong anti-interference ability and good response to the system.

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Mathematics Subject Classification: 19J25.

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Figure 1. the overall architecture of embedded Linux remote video monitoring system

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Figure 2. The framework of Linux device driver

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Figure 3. hierarchical structure of USB subsystem

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Figure 4. flow chart of video capture

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Figure 5. hardware development platform

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Figure 6. test results of three different methods

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Figure 7. system monitoring images

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Figure 8. the transmission of data by three different methods

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