Automated deep learning system for power line inspection image analysis and processing: Architecture and design issues
The continuous growth in the scale of unmanned aerial vehicle (UAV) applications in transmission line inspection has resulted in a corresponding increase in the demand for UAV inspection image processing. Owing to its excellent performance in computer vision, deep learning has been applied to UAV in...
Main Authors: | Daoxing Li, Xiaohui Wang, Jie Zhang, Zhixiang Ji |
---|---|
Format: | Article |
Language: | English |
Published: |
KeAi Communications Co., Ltd.
2023-10-01
|
Series: | Global Energy Interconnection |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S209651172300083X |
Similar Items
-
Mechanical Implementation and Simulation of MoboLab, A Mobile Robot for Inspection of Power Transmission Lines
by: Mahmud Saadat Foumani, et al.
Published: (2008-11-01) -
Review of overhead line defect inspection based on deep learning and UAV images
by: ZHOU Wenqing, et al.
Published: (2024-03-01) -
A Deep Learning Method to Detect Foreign Objects for Inspecting Power Transmission Lines
by: Jinguo Zhu, et al.
Published: (2020-01-01) -
Deep-Learning-Based Surface Texture Feature Simulation for Surface Defect Inspection
by: Chao-Ching Ho, et al.
Published: (2022-07-01) -
A Generic Semi-Supervised Deep Learning-Based Approach for Automated Surface Inspection
by: Xiaoqing Zheng, et al.
Published: (2020-01-01)