Fostc3net:A Lightweight YOLOv5 Based On the Network Structure Optimization

arXiv:2403.13703v1 Announce Type: new
Abstract: Transmission line detection technology is crucial for automatic monitoring and ensuring the safety of electrical facilities. The YOLOv5 series is currently one of the most advanced and widely used methods for object detection. However, it faces inherent challenges, such as high computational load on devices and insufficient detection accuracy. To address these concerns, this paper presents an enhanced lightweight YOLOv5 technique customized for mobile devices, specifically intended for identifying objects associated with transmission lines. The …

abstract advanced arxiv challenges computational cs.ai cs.cv detection devices facilities however line monitoring network object optimization safety series technology type yolov5