Proceedings of the 2016 International Conference on Artificial Intelligence and Engineering Applications

A Solution for Identification of Bird's Nests on Transmission Lines with UAV Patrol

Authors
Qinghua Wang
Corresponding Author
Qinghua Wang
Available Online November 2016.
DOI
https://doi.org/10.2991/aiea-16.2016.38How to use a DOI?
Keywords
Lerial image; transmission lines; identification of bird's nests; feature identification.
Abstract

Birds often disturb the normal operation of transmission lines during their activities in the nature. Now, it is common to rely on workers that check, identify and remove bird's nests on transmission lines, but their observation is less efficient and geographically limited. This paper proposes a solution for identification of bird's nests on transmission lines based on feature identification, which locates the pole tower of transmission line by LSD line detection, Harris corner detection and morphological closing operation, and detects the bird's nests within the range of pole tower based on their shape and color features, in order to identify the bird's nests accurately.

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 International Conference on Artificial Intelligence and Engineering Applications
Series
Advances in Computer Science Research
Publication Date
November 2016
ISBN
978-94-6252-270-1
ISSN
2352-538X
DOI
https://doi.org/10.2991/aiea-16.2016.38How 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  - Qinghua Wang
PY  - 2016/11
DA  - 2016/11
TI  - A Solution for Identification of Bird's Nests on Transmission Lines with UAV Patrol
BT  - Proceedings of the 2016 International Conference on Artificial Intelligence and Engineering Applications
PB  - Atlantis Press
SP  - 202
EP  - 206
SN  - 2352-538X
UR  - https://doi.org/10.2991/aiea-16.2016.38
DO  - https://doi.org/10.2991/aiea-16.2016.38
ID  - Wang2016/11
ER  -