Detection of power line insulator
WebFeb 7, 2024 · Detection of Power Line Insulators in Digital Images Based on the Transformed Colour Intensity Profiles 1. Introduction. In many areas, overhead … WebSep 13, 2024 · 4 Method of detecting power line insulators in digital images with the application of laser spots. The process of detecting an insulator in the analysed digital …
Detection of power line insulator
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WebJul 5, 2024 · In the traditional power transmission line insulator target detection task can be divided into two aspects. First check for the target. That is, the target of the insulator is positioned in the image, where in the unfavorable factors such as complex background and image resolution are overcome. WebUsing artificial intelligence technology to realize intelligent detection and monitoring of transmission lines is one of the key technologies in the construction of new power system. This paper introduces the target detection of transmission channel based on deep learning method. The deep learning method has the advantages of little influence of super …
WebJan 1, 2024 · The insulator detection network and the classification network precisions of the proposed method have reached 0.95 and 0.98 using the text dataset, respectively. … WebWith these strategies, the proposed model reduces the influence of background interference and becomes more discriminative to the insulator defects. Extensive experiments on …
WebOct 1, 2024 · The pipeline for detection of power line insulators using aerial images and a quadcopter is developed as shown in Fig. 3. The deep learning-based pipeline consists of four stages as in [19]. In the first stage, pre-processing of aerial images is carried; in second stage, mast detector detects masts from aerial images; in the third stage, model ... WebMay 17, 2024 · Aerial images have complex backgrounds, small targets, and overlapping targets, resulting in low accuracy of intelligent detection of overhead line insulators. This paper proposes an improved algorithm for insulator breakage detection based on YOLOv5: The ECA-Net (Efficient Channel Attention Network) attention mechanism is …
WebJul 9, 2024 · In aerial images of power lines are used to test a method to detect insulators, based of the fusion of HOG and LBP features, reaching a correct detection of 89.1%. Zhao et al. in papers [ 14 , 15 , 16 ] documented an extensive study about the insulator detection and localization.
WebOct 1, 2024 · The soft non-maximum suppression (Soft-NMS) is utilized to improve the performance of detection overlap insulator and ResNet 101 model is adopted to … sims sensoryWebAug 18, 2024 · Aerial insulator defect images have some features. For instance, the complex background and small target of defects would make it difficult to detect insulator defects quickly and accurately. To solve the problem of low accuracy of insulator defect detection, this paper concerns the shortcomings of IoU and the sensitivity of small … rcs single registrationWebDec 21, 2024 · Object detection-based inspection of power line insulators: Incipient fault detection in the low data-regime. Deep learning-based object detection is a powerful … sims scrap metal yardsWebThis paper presents a novel video surveillance system for detecting snow coverage on electric insulators and swing angles of insulators using videos from a remote outdoor … sims seatingWebThe experiment results show that the proposed method for power lines insulator defect detection with Attention Feedback and Double Spatial Pyramid can achieve Precision of 98.9%, Recall of 99.5%, F1-score of 99.0%, and reaches mAP of 97.1%. In complex background images, the method not only can detect insulator defects, but also identify … rcssl schoolWebMar 22, 2024 · Proper maintenance of the electricity infrastructure requires periodic condition inspections of power line insulators, which can be subjected to various damages such as burns or fractures. The article includes an introduction to the problem of insulator detection and a description of various currently used methods. Afterwards, the authors … rcs sobeysWebSep 30, 2024 · A robust insulator detection algorithm based on local features and spatial orders for aerial images. IEEE Geosci. Remote Sens. Lett. 12(5), 963–967 (2014) CrossRef Google Scholar Tao, X., Zhang, D., Wang, Z., et al.: Detection of power line insulator defects using aerial images analyzed with convolutional neural networks. rcs sop manual