Proceedings of the 2017 2nd International Conference on Materials Science, Machinery and Energy Engineering (MSMEE 2017)

Design and Implementation of Video Monitoring System for Deer Shed Based on Embedded Technology

Authors
Min Zhang, Yuhua Wu, Ji Li, Shijun Li
Corresponding Author
Min Zhang
Available Online May 2017.
DOI
10.2991/msmee-17.2017.87How to use a DOI?
Keywords
Embedded, video monitoring system, deer breeding
Abstract

This paper designs the deer shed video monitoring system based on embedded. By using the embedded technology and video coding technology, applying the real-time camera to collect deer shed on-site information, and then via the video coding technology, analysing and displaying the received video data, real-time monitoring deer's living surroundings, to prevent the emergence of deer Panic, frightening, fighting and other accidents, timely and effectively avoid the economic losses caused by deer's abortion, death, squeezing and so on.

Copyright
© 2017, 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 2017 2nd International Conference on Materials Science, Machinery and Energy Engineering (MSMEE 2017)
Series
Advances in Engineering Research
Publication Date
May 2017
ISBN
978-94-6252-346-3
ISSN
2352-5401
DOI
10.2991/msmee-17.2017.87How to use a DOI?
Copyright
© 2017, 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  - Min Zhang
AU  - Yuhua Wu
AU  - Ji Li
AU  - Shijun Li
PY  - 2017/05
DA  - 2017/05
TI  - Design and Implementation of Video Monitoring System for Deer Shed Based on Embedded Technology
BT  - Proceedings of the 2017 2nd International Conference on Materials Science, Machinery and Energy Engineering (MSMEE 2017)
PB  - Atlantis Press
SP  - 432
EP  - 436
SN  - 2352-5401
UR  - https://doi.org/10.2991/msmee-17.2017.87
DO  - 10.2991/msmee-17.2017.87
ID  - Zhang2017/05
ER  -