Enhancing Transmission Line Safety: Real-Time Detection of Foreign Objects Using MFMAM-YOLO Algorithm

Image online monitoring technology has been widely used in transmission line inspection, but intelligent and efficient foreign object detection still has a gap with the ideal. The focus of this study is to develop an advanced system using the Multi-Fusion Mixed Attention Module-You Only Look Once (MFMAM-YOLO) algorithm for real-time detection of foreign objects on transmission lines. The main objective is to improve the safety and reliability of power transmission systems by swiftly identifying and removing any foreign objects that may pose hazards. The results demonstrate the effectiveness and efficiency of the proposed approach in accurately detecting foreign objects, thereby providing a valuable tool for maintaining the integrity of transmission lines.