Detection for Power line Inspection

Power line inspection is very important for electric company to keep good maintenance of power line infrastructure and ensure reliable electric power distribution. Research efforts focus on automating the inspection process by looking for strategies to satisfy all kinds of requirements. Following th...

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Main Authors: Han Bing, Wang Xiaoyu
Format: Article
Language:English
Published: EDP Sciences 2017-01-01
Series:MATEC Web of Conferences
Subjects:
Online Access:https://doi.org/10.1051/matecconf/201710003010
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spelling doaj-3b8b74358c754bc99f55f05759f62c632021-02-02T00:06:33ZengEDP SciencesMATEC Web of Conferences2261-236X2017-01-011000301010.1051/matecconf/201710003010matecconf_gcmm2017_03010Detection for Power line InspectionHan BingWang XiaoyuPower line inspection is very important for electric company to keep good maintenance of power line infrastructure and ensure reliable electric power distribution. Research efforts focus on automating the inspection process by looking for strategies to satisfy all kinds of requirements. Following this direction, this paper proposes a learning approach for all kinds of detecting problems, where aggregate channel features are used to train the boost classifier. Adopting the sliding window paradigm, the electric tower, insulator and nest can be located very fast. The main advantage of this approach is its efficiency and accuracy for processing huge quantity of image data. Obtaining highly encouraging results shows that it is really a promising technique.https://doi.org/10.1051/matecconf/201710003010Power lineinspectionaggregate channel features
collection DOAJ
language English
format Article
sources DOAJ
author Han Bing
Wang Xiaoyu
spellingShingle Han Bing
Wang Xiaoyu
Detection for Power line Inspection
MATEC Web of Conferences
Power line
inspection
aggregate channel features
author_facet Han Bing
Wang Xiaoyu
author_sort Han Bing
title Detection for Power line Inspection
title_short Detection for Power line Inspection
title_full Detection for Power line Inspection
title_fullStr Detection for Power line Inspection
title_full_unstemmed Detection for Power line Inspection
title_sort detection for power line inspection
publisher EDP Sciences
series MATEC Web of Conferences
issn 2261-236X
publishDate 2017-01-01
description Power line inspection is very important for electric company to keep good maintenance of power line infrastructure and ensure reliable electric power distribution. Research efforts focus on automating the inspection process by looking for strategies to satisfy all kinds of requirements. Following this direction, this paper proposes a learning approach for all kinds of detecting problems, where aggregate channel features are used to train the boost classifier. Adopting the sliding window paradigm, the electric tower, insulator and nest can be located very fast. The main advantage of this approach is its efficiency and accuracy for processing huge quantity of image data. Obtaining highly encouraging results shows that it is really a promising technique.
topic Power line
inspection
aggregate channel features
url https://doi.org/10.1051/matecconf/201710003010
work_keys_str_mv AT hanbing detectionforpowerlineinspection
AT wangxiaoyu detectionforpowerlineinspection
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