Proceedings of the 2015 International Conference on Electrical, Electronics and Mechatronics

Video Surveillance System for Extra-high Voltage Power Transmission Lines with an Optimal Image Compression Method

Authors
Liyan Yuan, Huanbing Gao
Corresponding Author
Liyan Yuan
Available Online December 2015.
DOI
10.2991/iceem-15.2015.12How to use a DOI?
Keywords
extra-high voltage power transmission line; image compression; ARM; 4G
Abstract

This paper presents a real-time online monitoring system scheme for power transmission line to achieve the objective of giving early warning to disaster and making decision for extra-high voltage power transmission line. Monitoring terminals with a S3C6410 ARM11 processor as core is equipped on the line towers to get the video data captured by the camera on board and other important information. An image optimal compression ratio is discussed based on JPEG2000 baseline compression in RGB space, and then a mathematical model for co-relationship of three color components in RGB is developed. The system has been installed on the power transmission line and works for a long time, and then it has indicated that the work efficiency of detecting the transmission line is raised.

Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2015 International Conference on Electrical, Electronics and Mechatronics
Series
Advances in Engineering Research
Publication Date
December 2015
ISBN
978-94-6252-143-8
ISSN
2352-5401
DOI
10.2991/iceem-15.2015.12How to use a DOI?
Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Liyan Yuan
AU  - Huanbing Gao
PY  - 2015/12
DA  - 2015/12
TI  - Video Surveillance System for Extra-high Voltage Power Transmission Lines with an Optimal Image Compression Method
BT  - Proceedings of the 2015 International Conference on Electrical, Electronics and Mechatronics
PB  - Atlantis Press
SP  - 48
EP  - 52
SN  - 2352-5401
UR  - https://doi.org/10.2991/iceem-15.2015.12
DO  - 10.2991/iceem-15.2015.12
ID  - Yuan2015/12
ER  -