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5 July 2024 UAV tracking and recognition method of transmission tower surface defects based on edge computing
Junqing Luan, Yi Duan, Yonghua Zhao, Fuming Jin, Ruiqiang Zhang, Peilin Xie
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Proceedings Volume 13184, Third International Conference on Electronic Information Engineering and Data Processing (EIEDP 2024); 1318412 (2024) https://doi.org/10.1117/12.3033150
Event: 3rd International Conference on Electronic Information Engineering and Data Processing (EIEDP 2024), 2024, Kuala Lumpur, Malaysia
Abstract
Surface defects on transmission towers usually include cracks, corrosion, rust, and other issues, and these defects often have different shapes and sizes. Therefore, designing accurate identification methods to ensure that drones can reliably identify various types of defects is a challenge at this stage. Therefore, a new UAV tracking and recognition method for transmission tower surface defects is designed by combining edge computing method. Based on edge computing, the data collected by UAVs on the surface of transmission towers are classified accurately. Based on this, a multi strategy PSO is used to achieve unmanned aerial vehicle tracking of surface defects on transmission towers. Simulated annealing algorithm is introduced to improve particle swarm optimization, and a multi-strategy particle swarm optimization algorithm is formed. According to Sobel operator, UAV tracking and identification of surface defects of transmission towers are completed. The experimental results show that the research method can track all defects on the surface of transmission towers, and has higher accuracy in identifying defects.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
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Junqing Luan, Yi Duan, Yonghua Zhao, Fuming Jin, Ruiqiang Zhang, and Peilin Xie "UAV tracking and recognition method of transmission tower surface defects based on edge computing", Proc. SPIE 13184, Third International Conference on Electronic Information Engineering and Data Processing (EIEDP 2024), 1318412 (5 July 2024); https://doi.org/10.1117/12.3033150
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KEYWORDS
Unmanned aerial vehicles
Data transmission
Image transmission
Detection and tracking algorithms
Particle swarm optimization
Defect detection
Algorithms
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