Cracked insulator detection based on r-fcn
WebNov 9, 2024 · The goal of this research is to create a deep learning system that can detect insulators and caps. And the method adopted is the mask regions with convolutional …
Cracked insulator detection based on r-fcn
Did you know?
WebThe traditional cracked insulator detection method is to use image denoising, single insulator disk segmentation, and the adjacent European distance to locate and identify … WebFeb 3, 2024 · The Exact R-CNN (exact region-based convolutional neural network) is then used to detect insulator defects in the second stage. Compared with the traditional target detection method, this two-stage pipeline can greatly eliminate the interference of background features on the target detection, and greatly improve the accuracy of target …
WebMay 20, 2016 · We present region-based, fully convolutional networks for accurate and efficient object detection. In contrast to previous region-based detectors such as Fast/Faster R-CNN that apply a costly per-region … WebMay 2, 2024 · The average precision of the modified YOLOv3 (YOLOv3-dense) model is 94.47%, and the average running time of per image can reach 8.5 ms, however, the modified model can only perform the localization detection of insulators, which is not used for the research of insulator defect detection.
WebFeb 19, 2024 · The most beneficial results were obtained for two convolutional neural networks: the faster region-convolutional neural network (faster R-CNN) and the region-based fully convolutional network (R-FCN). Faster R-CNN reached the highest AP (average precision) at a level of 0.8 for 60 frames. WebMy Research and Language Selection Sign into My Research Create My Research Account English; Help and support. Support Center Find answers to questions about …
WebFaster R-CNN : Insulator: The average precision at a level of 0.8 for 60 frames: R-FCN : Cracked insulator detection: The average accuracy rate of 90.5%: Mask R-CNN : …
WebThe traditional cracked insulator detection method is to use image denoising, single insulator disk segmentation, and the adjacent European distance to locate and identify cracked insulators. Experiments show that the robustness of these methods is poor and their ability to adapt to the environment is not good. mount holyoke sister schoolsWebAug 1, 2024 · Based on the extracted insulator strings, we change the problem to cracked insulators detection under complex conditions with … hearthstone faelin adventureWebFeb 3, 2024 · In reference , the authors proposed a method for insulator defect detection based on R-FCN (region-based fully convolutional network). This method is a two-stage … mount holyoke tuition and feesWebAn insulator defect detection method based on improved ResNeSt and Region Proposal Network (RPN) was proposed. First, this method builds a new network based on … mount holyoke state parkWebDec 5, 2024 · In power inspection tasks, the insulator and spacer are important inspection objects. UAV (unmanned aerial vehicle) power inspection is becoming more and more popular. However, due to the limited computing resources carried by a UAV, a lighter model with small model size, high detection accuracy, and fast detection speed is needed to … hearthstone filter by standardWebIn civil engineering, the stability of concrete is of great significance to safety of people’s life and property, so it is necessary to detect concrete damage effectively. In this paper, we treat crack detection on concrete surface as a semantic segmentation task that distinguishes background from crack at the pixel level. Inspired by Fully … hearthstone festival of legends wikiWebLi, S., Zhou, H., Wang, G., Zhu, X., Kong, L., & Hu, Z. (2024). Cracked Insulator Detection Based on R-FCN. Journal of Physics: Conference Series, 1069, 012147. doi ... mount holyoke tuition