基于EasyDL平台视频事件监测系统在铁路运维中的应用

Application of video event monitoring system based on EasyDL platform in railway operation and maintenance

人工智能技术日益发展,为了更好地减轻铁路视频监控人员工作量,保障铁路作业人员安全,减少事故发生,文章针对铁路运营维护的5个场景,设计了一种基于EasyDL平台的视频事件监测系统。此系统基于人工智能EasyDL平台,建立未佩戴安全帽、未穿防护服、特殊区域人员徘徊等机器学习模型,利用相关模型识别铁路作业人员的一些违规行为,及时记录并给出警示。测试结果表明,该系统能够准确识别摄像头抓拍到的违规事件,有助于进一步保障铁路作业人员的安全。

With the development of artificial intelligence technology,in order to reduce the workload of railway video surveillance personnel better,ensure the safety of railway operators,and reduce the occurrence of accidents,this article designs a video event monitoring system based on the EasyDL platform for the five scenarios of railway operation and maintenance.This system builds machine learning models such as wearing no hard hats,protective clothing,people in special areas and so on based on the artificial intelligence EasyDL platform,and identifies some violations of railway operators of using relevant models,records and gives timely warnings.The test results shows that the system can accurately identify violation captured by the camera,which helps to ensure the safety of railway operators further.