Proceedings of the 2017 7th International Conference on Advanced Design and Manufacturing Engineering (ICADME 2017)

The research on Intelligent Monitoring System

Authors
Ying Shang, Jin-Bo Zhang
Corresponding Author
Ying Shang
Available Online July 2017.
DOI
10.2991/icadme-17.2017.46How to use a DOI?
Keywords
ZigBee technology, face recognition, intelligent monitoring, object tracking
Abstract

Aiming at the problem of inaccuracy of Face Recognition and No Object Tracking Ability with the current monitoring system, an intelligent monitoring system design scheme based on ZigBee technology is proposed, and the hardware and software module design of the system is implemented including data acquisition module, data transmission module and character face detection module, also the ZigBee technology networking principle and image compression and face recognition algorithm are expounded in this paper. The test results in the bank environment of the ZigBee technology based real-time monitoring system show that the proposed solution is simple, reliable and accurate with high transmission speed and the object tracking ability.

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 7th International Conference on Advanced Design and Manufacturing Engineering (ICADME 2017)
Series
Advances in Engineering Research
Publication Date
July 2017
ISBN
10.2991/icadme-17.2017.46
ISSN
2352-5401
DOI
10.2991/icadme-17.2017.46How 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  - Ying Shang
AU  - Jin-Bo Zhang
PY  - 2017/07
DA  - 2017/07
TI  - The research on Intelligent Monitoring System
BT  - Proceedings of the 2017 7th International Conference on Advanced Design and Manufacturing Engineering (ICADME 2017)
PB  - Atlantis Press
SP  - 231
EP  - 236
SN  - 2352-5401
UR  - https://doi.org/10.2991/icadme-17.2017.46
DO  - 10.2991/icadme-17.2017.46
ID  - Shang2017/07
ER  -