AI real-time detection of cable corrosion in power inspection videos based on a YOLOv10-transformer hybrid network
A deep learning model that integrates a multi-scale feature extraction module with an adaptive attention mechanism (MSFEM-AAM) is proposed, contributing to improved automation of corrosion detection and enhanced early-warning capabilities, thus supporting the secure and stable operation of power grids.