Detection System for Transmission Line Rail Transit Equipment Based on Improved Faster-RCNN

A safety detection system for railway transportation equipment based on image recognition is studied in this paper. The entire railway transportation equipment control system for mountain power transmission lines in forest areas is analyzed. Based on image recognition, improved Faster-RCNN algorithm combined with split-attention networks and self-calibrated convolutions to identify personnel around the railway transportation equipment during operation in the wild environment of mountainous forest areas is researched. And this improves the operational safety and reliability of transmission line rail transportation equipment.