YOLOLS: A Lightweight and High-Precision Power Insulator Defect Detection Network for Real-Time Edge Deployment

YOLOLS: A Lightweight and High-Precision Power Insulator Defect Detection Network for Real-Time Edge Deployment

Real-time insulator defect detection is critical for ensuring the reliability and safety of power transmission systems. However, deploying deep learning models on edge devices presents significant challenges due to limited computational resources and strict latency constraints. To address these issu...

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Bibliographic Details
Main Authors: Qinglong Wang, Zhengyu Hu, Entuo Li, Guyu Wu, Wengang Yang, Yunjian Hu, Wen Peng, Jie Sun
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:Energies
Subjects:
lightweight detection
transmission line
power insulator defects
edge computing
real-time detection
Online Access:https://www.mdpi.com/1996-1073/18/7/1668
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