摘要
近年来,我国的各项利好政策和铁路运力的释放让铁路货运迎来了新的历史机遇。为提高铁路货运安检查危效率,降低现场操作人员的劳动强度,在阐述铁路货运安检查危现状的基础上,吸收深度学习技术在其他领域的应用经验,以人工智能在深度学习图形图像识别处理上具有的独特优势,以及铁路货运安检查危中涉及到大量的图像查验之间的结合点为引导,将人工智能应用于铁路货运过机安检、图像和视频识别等方面,构建铁路货运安检查危的新方案,为铁路货运安检查危提供借鉴。
In recent years, China＇s favorable policies and the release of railway transportation capacity have ushered in a new era for the development of railway freight transportation. To improve the efficiency and reduce the site operation personnel＇s labor intensity, this paper puts forward a new approach to conduct security check for railway freight transport, which is expected to serve as reference point. Based on a review of security check for railway freight transport and targeting at the plentiful joint points between the image check operation, this paper applies AI technology into several security check methods including check through machine and image and video identification by taking the advantages of the application experience of in-depth learning technology in other fields and AI technology＇s unique strengths in processing, and identifying in-depth learning graphic image.
作者
邹朝辉
张呈
ZOU Zhao-hui;ZHANG Cheng(Guangzhou Freight Center, China Railway Guangzhou Group Co., Ltd., Guangzhou 510450, Guangdong, China)
出处
《铁道货运》
2018年第9期62-66,共5页
Railway Freight Transport
基金
中国铁路广州局集团有限公司科技研究开发项目(2018K101-Y)
关键词
铁路货运
人工智能
深度学习
安检查危
图像识别
Railway Freight Transport
Artificial Intelligence
In-depth Learning
Security Check
Image Identification
