Fostc3net:A Lightweight YOLOv5 Based On the Network Structure Optimization

Understand

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.