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11 September 2023 Foreign object detection of transmission line based on improved Yolov5
Gengwu Wei, Yingna Li
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Proceedings Volume 12779, Seventh International Conference on Mechatronics and Intelligent Robotics (ICMIR 2023); 1277928 (2023) https://doi.org/10.1117/12.2689392
Event: Seventh International Conference on Mechatronics and Intelligent Robotics (ICMIR 2023), 2023, Kunming, China
Abstract
The environment of the transmission line is complex and easy to attach foreign matter, which has always been one of the reasons for the safety hazards to the operation of the transmission line. In view of the current problem that the detection accuracy of the foreign matter on the transmission line needs to be improved, an improved transmission line foreign matter detection method based on the Yolov5 algorithm is proposed. Detection model. First, the RepVGG module is introduced into the feature extraction network to enhance the network feature extraction ability and improve the model reasoning speed; secondly, the ability of the network to identify important feature information is strengthened by integrating the attention mechanism module; finally, by adding the prediction layer and Soft-nms the algorithm processes the target prediction frame to improve the detection accuracy of the model. The experimental results show that the improved Yolov5 transmission line foreign object detection algorithm proposed in this paper has a mAP value of 4.1% higher than the conventional Yolov5, and it also has certain advantages in performance compared with the conventional target detection algorithm.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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Gengwu Wei and Yingna Li "Foreign object detection of transmission line based on improved Yolov5", Proc. SPIE 12779, Seventh International Conference on Mechatronics and Intelligent Robotics (ICMIR 2023), 1277928 (11 September 2023); https://doi.org/10.1117/12.2689392
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KEYWORDS
Object detection
Detection and tracking algorithms
Target detection
Data modeling
Education and training
Feature extraction
Inspection
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