American Institute of Mathematical Sciences

August & September  2019, 12(4&5): 1341-1354. doi: 10.3934/dcdss.2019092

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

 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

Received  August 2017 Revised  January 2018 Published  November 2018

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.

Citation: Wenbo Fu, Debnath Narayan. Optimization algorithm for embedded Linux remote video monitoring system oriented to the internet of things (IOT). Discrete & Continuous Dynamical Systems - S, 2019, 12 (4&5) : 1341-1354. doi: 10.3934/dcdss.2019092
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References:
the overall architecture of embedded Linux remote video monitoring system
The framework of Linux device driver
hierarchical structure of USB subsystem
flow chart of video capture
hardware development platform
test results of three different methods
system monitoring images
the transmission of data by three different methods
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