Web8 rows · Power lines insulator defect detection results in different scene. each column shows ... WebEklund Infrared/Eklund Innovation offer Corona Camera rentals, coronacamerarental.com. for insulator contamination detection, power …
Insulator and Burst Fault Detection Using an Improved Yolov3 …
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 … WebNov 9, 2024 · Besides insulator detection, deep learning methods could be used to detect insulator defects, which could be divided into two types: two-stage and single-stage, regardless of the backbone used. ... Z., Xu, G., Qi, Y., Liu, N., Zhang, T.: Multi-patch deep features for power line insulator status classification from aerial images. In: … binder science midland tx
A light defect detection algorithm of power insulators from …
WebJan 28, 2024 · Insulators are widely used in power transmission lines. They need to go through defect detection before being used on site. The traditional method is through manual detection, which is inefficient and costly. This paper proposes a novel defect detection method based on YOLOv5 for insulators of power transmission line. 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 ... WebAiming at the problem of the missed detection and misjudgment of the original feature extraction network VGG16 of a faster region-convolutional neural network (R-CNN) in the face of insulators of different sizes, in order to improve the accuracy of insulators' detection on power transmission lines, an improved faster R-CNN algorithm is proposed. cysticercosis risk factors