We have improved YOLOv8 model with the CoT and PConv, which shows good performance in insulator defect detection.
Abstract:
Insulator defect detection using autonomous aerial vehicles (AAVs) images is a promising method for power transmission line inspections. However, varying sizes, orientati...Show MoreMetadata
Abstract:
Insulator defect detection using autonomous aerial vehicles (AAVs) images is a promising method for power transmission line inspections. However, varying sizes, orientations, and complex backgrounds of insulator defects result in high false negatives and low accuracy. Previous studies have not adequately incorporated self-attention mechanisms focusing on adjacent keys. To address this, we propose an improved YOLOv8-based detection algorithm. We added a Contextual Transformer module to the YOLOv8 backbone for better contextual understanding and introduced a Partial Convolution layer to reduce redundant calculations. Our model shows improvements over existing ones, achieving a precision of 97.5%, a mean average precision of 86.2%, and a recall of 81.1%, offering a robust solution for automated, precise power line inspections.
We have improved YOLOv8 model with the CoT and PConv, which shows good performance in insulator defect detection.
Published in: IEEE Access ( Volume: 13)
Funding Agency:
Department of Art and Design, Shanghai Dianji University, Shanghai, China
School of Mechanical Engineering, Shanghai Dianji University, Shanghai, China
Guoying Lu received the B.E. degree from Tongji University, Shanghai, China, in 2001, and the master’s and D.E. degrees, in 2004 and 2013, respectively.
She currently holds a position as an Associate Professor with Shanghai Dianji University, Shanghai. In addition to her full-time role, she is also a part-time Professor and a part-time Doctoral Advisor with Krirk University, Thailand. She has been involved in several proje...Show More
Guoying Lu received the B.E. degree from Tongji University, Shanghai, China, in 2001, and the master’s and D.E. degrees, in 2004 and 2013, respectively.
She currently holds a position as an Associate Professor with Shanghai Dianji University, Shanghai. In addition to her full-time role, she is also a part-time Professor and a part-time Doctoral Advisor with Krirk University, Thailand. She has been involved in several proje...View more
School of Mechanical Engineering, Shanghai Dianji University, Shanghai, China
Benhao Li received the bachelor’s degree in mechanical engineering from Ludong University, Shandong, China, in 2021. He is currently pursuing the master’s degree in electrical engineering with Shanghai Dianji University, Shanghai, China.
From 2022 to 2024, he primarily researched the application of deep learning image detection in power systems. His research interests include power transmission and deep learning.
Benhao Li received the bachelor’s degree in mechanical engineering from Ludong University, Shandong, China, in 2021. He is currently pursuing the master’s degree in electrical engineering with Shanghai Dianji University, Shanghai, China.
From 2022 to 2024, he primarily researched the application of deep learning image detection in power systems. His research interests include power transmission and deep learning.View more
Department of Art and Design, Shanghai Dianji University, Shanghai, China
Yining Chen was born in Henan, China. She received the B.S. degree in computer science and technology from Luoyang Institute of Science and Technology, in 2023. She is currently pursuing the Advanced Degree in industrial design with Shanghai Dianji University.
From 2023 to 2024, she primarily researched the application of deep learning image detection in power systems. Her research interests include image recognition and d...Show More
Yining Chen was born in Henan, China. She received the B.S. degree in computer science and technology from Luoyang Institute of Science and Technology, in 2023. She is currently pursuing the Advanced Degree in industrial design with Shanghai Dianji University.
From 2023 to 2024, she primarily researched the application of deep learning image detection in power systems. Her research interests include image recognition and d...View more
Department of Art and Design, Shanghai Dianji University, Shanghai, China
Siyuan Qu was born in Jiangsu, China, in 2001. She received the B.S. degree in computer science from Jincheng College, Nanjing, in 2023. She is currently pursuing the master’s degree in industrial design with Shanghai Dianji University.
From 2023 to 2024, she primarily researched the application of deep learning image detection in power systems. Her research interests include image recognition and deep learning.
Siyuan Qu was born in Jiangsu, China, in 2001. She received the B.S. degree in computer science from Jincheng College, Nanjing, in 2023. She is currently pursuing the master’s degree in industrial design with Shanghai Dianji University.
From 2023 to 2024, she primarily researched the application of deep learning image detection in power systems. Her research interests include image recognition and deep learning.View more
School of Mechanical Engineering, Shanghai Dianji University, Shanghai, China
Tianyu Cheng was born in Jiangxi, China, in 1997. He received the bachelor’s degree in electrical engineering from Qingdao City University, in 2020, and the master’s degree from Shanghai Dianji University, in 2024.
From 2021 to 2024, he primarily researched the interaction device between autonomous vehicles and pedestrians. His research interests include deep learning and autonomous vehicles.
Tianyu Cheng was born in Jiangxi, China, in 1997. He received the bachelor’s degree in electrical engineering from Qingdao City University, in 2020, and the master’s degree from Shanghai Dianji University, in 2024.
From 2021 to 2024, he primarily researched the interaction device between autonomous vehicles and pedestrians. His research interests include deep learning and autonomous vehicles.View more
School of Mechanical Engineering, Shanghai Dianji University, Shanghai, China
Junkun Zhou received the master’s degree in electrical engineering from Shanghai Dianji University, Shanghai, China, in 2024.
From 2021 to 2024, he primarily researched the interface of the head-up display (HUD) for intelligent driving cars. His research interests include image detection and deep learning.
Junkun Zhou received the master’s degree in electrical engineering from Shanghai Dianji University, Shanghai, China, in 2024.
From 2021 to 2024, he primarily researched the interface of the head-up display (HUD) for intelligent driving cars. His research interests include image detection and deep learning.View more
Contents Department of Art and Design, Shanghai Dianji University, Shanghai, China
School of Mechanical Engineering, Shanghai Dianji University, Shanghai, China
Guoying Lu received the B.E. degree from Tongji University, Shanghai, China, in 2001, and the master’s and D.E. degrees, in 2004 and 2013, respectively.
She currently holds a position as an Associate Professor with Shanghai Dianji University, Shanghai. In addition to her full-time role, she is also a part-time Professor and a part-time Doctoral Advisor with Krirk University, Thailand. She has been involved in several projects funded by Chinese Government. Her research interests include human-computer interaction (HCI) and image detection.
Guoying Lu received the B.E. degree from Tongji University, Shanghai, China, in 2001, and the master’s and D.E. degrees, in 2004 and 2013, respectively.
She currently holds a position as an Associate Professor with Shanghai Dianji University, Shanghai. In addition to her full-time role, she is also a part-time Professor and a part-time Doctoral Advisor with Krirk University, Thailand. She has been involved in several projects funded by Chinese Government. Her research interests include human-computer interaction (HCI) and image detection.View more
School of Mechanical Engineering, Shanghai Dianji University, Shanghai, China
Benhao Li received the bachelor’s degree in mechanical engineering from Ludong University, Shandong, China, in 2021. He is currently pursuing the master’s degree in electrical engineering with Shanghai Dianji University, Shanghai, China.
From 2022 to 2024, he primarily researched the application of deep learning image detection in power systems. His research interests include power transmission and deep learning.
Benhao Li received the bachelor’s degree in mechanical engineering from Ludong University, Shandong, China, in 2021. He is currently pursuing the master’s degree in electrical engineering with Shanghai Dianji University, Shanghai, China.
From 2022 to 2024, he primarily researched the application of deep learning image detection in power systems. His research interests include power transmission and deep learning.View more
Department of Art and Design, Shanghai Dianji University, Shanghai, China
Yining Chen was born in Henan, China. She received the B.S. degree in computer science and technology from Luoyang Institute of Science and Technology, in 2023. She is currently pursuing the Advanced Degree in industrial design with Shanghai Dianji University.
From 2023 to 2024, she primarily researched the application of deep learning image detection in power systems. Her research interests include image recognition and deep learning.
Yining Chen was born in Henan, China. She received the B.S. degree in computer science and technology from Luoyang Institute of Science and Technology, in 2023. She is currently pursuing the Advanced Degree in industrial design with Shanghai Dianji University.
From 2023 to 2024, she primarily researched the application of deep learning image detection in power systems. Her research interests include image recognition and deep learning.View more
Department of Art and Design, Shanghai Dianji University, Shanghai, China
Siyuan Qu was born in Jiangsu, China, in 2001. She received the B.S. degree in computer science from Jincheng College, Nanjing, in 2023. She is currently pursuing the master’s degree in industrial design with Shanghai Dianji University.
From 2023 to 2024, she primarily researched the application of deep learning image detection in power systems. Her research interests include image recognition and deep learning.
Siyuan Qu was born in Jiangsu, China, in 2001. She received the B.S. degree in computer science from Jincheng College, Nanjing, in 2023. She is currently pursuing the master’s degree in industrial design with Shanghai Dianji University.
From 2023 to 2024, she primarily researched the application of deep learning image detection in power systems. Her research interests include image recognition and deep learning.View more
School of Mechanical Engineering, Shanghai Dianji University, Shanghai, China
Tianyu Cheng was born in Jiangxi, China, in 1997. He received the bachelor’s degree in electrical engineering from Qingdao City University, in 2020, and the master’s degree from Shanghai Dianji University, in 2024.
From 2021 to 2024, he primarily researched the interaction device between autonomous vehicles and pedestrians. His research interests include deep learning and autonomous vehicles.
Tianyu Cheng was born in Jiangxi, China, in 1997. He received the bachelor’s degree in electrical engineering from Qingdao City University, in 2020, and the master’s degree from Shanghai Dianji University, in 2024.
From 2021 to 2024, he primarily researched the interaction device between autonomous vehicles and pedestrians. His research interests include deep learning and autonomous vehicles.View more
School of Mechanical Engineering, Shanghai Dianji University, Shanghai, China
Junkun Zhou received the master’s degree in electrical engineering from Shanghai Dianji University, Shanghai, China, in 2024.
From 2021 to 2024, he primarily researched the interface of the head-up display (HUD) for intelligent driving cars. His research interests include image detection and deep learning.
Junkun Zhou received the master’s degree in electrical engineering from Shanghai Dianji University, Shanghai, China, in 2024.
From 2021 to 2024, he primarily researched the interface of the head-up display (HUD) for intelligent driving cars. His research interests include image detection and deep learning.View more