| Autor: |
Lei He-dong, Gao Qing-feng, Lv Dong-rui |
| Jazyk: |
English<br />French |
| Rok vydání: |
2021 |
| Předmět: |
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| Zdroj: |
E3S Web of Conferences, Vol 257, p 01074 (2021) |
| Druh dokumentu: |
article |
| ISSN: |
2267-1242 |
| DOI: |
10.1051/e3sconf/202125701074 |
| Popis: |
On the basis of analyzing the structure of common power fittings in high-voltage transmission lines and their image features, combined with the DNN deep neural network in machine learning, we proposed a model suitable for high-voltage transmission line inspection robots to identify the types of electric power fittings on the transmission lines. And design a fast ROI generation method suitable for recognizing fittings on power transmission lines. Then we verify the feasibility and rationality of the fitting identification model. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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