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1. Distribution Line Equipment and Defect Identification Based on Deep Learning

Author

Chen Gege

Subjects
Environmental sciences, GE1-350
Abstract

In this study, UAVs were used to collect data of distribution line resources, and defects in distribution line equipment and construction process were identified through deep learning. Different algorithms are used to identify the defects of distribution line equipment and construction process. The research will ultimately support regional synchronization and online development for intelligent automatic acceptance of the distribution wire UAV.

Published
2021
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