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Zhendong He, Wenbin Yang, Yanjie Liu, Anping Zheng, Jie Liu, Taishan Lou and Jie Zhang
Ensuring the safety of transmission lines necessitates effective insulator defect detection. Traditional methods often need more efficiency and accuracy, particularly for tiny defects. This paper proposes an innovative insulator defect recognition method...
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Qinnan Fei, Jiancheng Cao, Wanli Xu, Linzhao Jiang, Jun Zhang, Hui Ding, Xiaohong Li and Jingli Yan
This study concentrates on the field of intelligent nondestructive testing, presenting a CNN?based method for accurately evaluating the depth of micro?defects on or near a surface. The innovation in this study lies in several key aspects: (1) The establi...
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Xi Yue, Qing Wang, Lei He, Yuxia Li and Dan Tang
Fabric quality plays a crucial role in modern textile industry processes. How to detect fabric defects quickly and effectively has become the main research goal of researchers. The You Only Look Once (YOLO) series of networks have maintained a dominant p...
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Han Zhou, Xiaoling Yang, Zhongqi Wang, Jie Zhang, Yinchao Du, Jiangpeng Chen and Xuezhe Zheng
Since tiny optical glass is the key component in various optical instruments, more and more researchers have paid attention to automatic defect detection on tiny optical glass in recent years. It remains a challenging problem, as the defects are extremel...
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Xin Li, Cheng Wang, Haijuan Ju and Zhuoyue Li
Aiming at the problems of low efficiency and poor accuracy in conventional surface defect detection methods for aero-engine components, a surface defect detection model based on an improved YOLOv5 object detection algorithm is proposed in this paper. Fir...
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Chengyin Ru, Shihai Zhang, Chongnian Qu and Zimiao Zhang
Aiming at the application of the overhead transmission line insulator patrol inspection requirements based on the unmanned aerial vehicle (UAV), a lightweight ECA-YOLOX-Tiny model is proposed by embedding the efficient channel attention (ECA) module into...
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Yan Tao Eugene Chian and Jing Tian
Defect detection in images is a challenging task due to the existence of tiny and noisy patterns on surface images. To tackle this challenge, a defect detection approach is proposed in this paper using statistical data fusion. First, the proposed approac...
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Peiran Peng, Ying Wang, Can Hao, Zhizhong Zhu, Tong Liu and Weihu Zhou
Fabric defect detection is very important in the textile quality process. Current deep learning algorithms are not effective in detecting tiny and extreme aspect ratio fabric defects. In this paper, we proposed a strong detection method, Priori Anchor Co...
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