国产欧美精品一区二区,中文字幕专区在线亚洲,国产精品美女网站在线观看,艾秋果冻传媒2021精品,在线免费一区二区,久久久久久青草大香综合精品,日韩美aaa特级毛片,欧美成人精品午夜免费影视

Aiming at the requirements of intelligent equipment construction in the intelligent high-speed railway 2.0 system, a high-speed railway line environment video detection system was developed. The system uses high real-time and dual-mode compensation technology for dynamic imaging, which overcomes the problem of motion blur under high-speed operation conditions and ambient light interference in open scenes. An intelligent recognition algorithm for foreign object intrusion is developed based on the Faster-RCNN framework and YOLO v8, and the online detection of abnormal state of train operation environment based on high-speed electric multiple units platform is realized. The application software of video dynamic detection of line environment is developed, which realizes the dynamic real-time monitoring and abnormal data management of abnormal train operation environment. The experimental verification shows that the system can meet the high-definition imaging and foreign object intrusion detection of the line environment under the operating conditions of up to 450 km / h, and the accuracy of defect detection is ≥ 90 %.