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...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2017-01-01
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| Series: | MATEC Web of Conferences |
| Subjects: | |
| Online Access: | https://doi.org/10.1051/matecconf/201710003010 |
| _version_ | 1818930251032428544 |
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| author | Han Bing Wang Xiaoyu |
| author_facet | Han Bing Wang Xiaoyu |
| author_sort | Han Bing |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-12-20T03:57:43Z |
| format | Article |
| id | doaj.art-3b8b74358c754bc99f55f05759f62c63 |
| institution | Directory Open Access Journal |
| issn | 2261-236X |
| language | English |
| last_indexed | 2024-12-20T03:57:43Z |
| publishDate | 2017-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | MATEC Web of Conferences |
| spelling | doaj.art-3b8b74358c754bc99f55f05759f62c632022-12-21T19:54:15ZengEDP 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 |
| spellingShingle | Han Bing Wang Xiaoyu Detection for Power line Inspection MATEC Web of Conferences Power line inspection aggregate channel features |
| title | 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_short | Detection for Power line Inspection |
| title_sort | detection for power line inspection |
| 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 |