Proceedings of the 2016 3rd International Conference on Mechatronics and Information Technology

Fire Image Detection System based on SOA

Authors
Tongmiao Huang, Zhenbo Bi, Shenming Gu, Jun Ye, Shuyou Peng, Jianzhong Xu
Corresponding Author
Tongmiao Huang
Available Online April 2016.
DOI
10.2991/icmit-16.2016.7How to use a DOI?
Keywords
SOA, Digital image processing, fire image detection, Web Service
Abstract

Fire image detection is a kind of important means of early prevention of fire, which has important application value in the important energy base in the island, harbor or other large space. The current fire image detection is focus on the feature extraction, the concrete algorithm, etc., but fire detection system generality is not high. Aiming at this problem, this paper proposes a fire image detection scheme based on service oriented architecture (SOA). With the help of Web Service and workflow technology, the solution, to some extent, solves the difficult problem that fire image detection is not high for a long time, and it has important research value.

Copyright
© 2016, 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 2016 3rd International Conference on Mechatronics and Information Technology
Series
Advances in Computer Science Research
Publication Date
April 2016
ISBN
978-94-6252-184-1
ISSN
2352-538X
DOI
10.2991/icmit-16.2016.7How to use a DOI?
Copyright
© 2016, 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  - Tongmiao Huang
AU  - Zhenbo Bi
AU  - Shenming Gu
AU  - Jun Ye
AU  - Shuyou Peng
AU  - Jianzhong Xu
PY  - 2016/04
DA  - 2016/04
TI  - Fire Image Detection System based on SOA
BT  - Proceedings of the 2016 3rd International Conference on Mechatronics and Information Technology
PB  - Atlantis Press
SP  - 36
EP  - 42
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmit-16.2016.7
DO  - 10.2991/icmit-16.2016.7
ID  - Huang2016/04
ER  -