装卸车作业图像自动处理系统研究  

Research on Automatic Image Processing System for Loading and Unloading Vehicle Operations

作　　者：周乐 ZHOU Le(Science and Technology Research Institute of China Railway Nanning Bureau Group Co.,Ltd.,Nanning Guangxi 530029,China)

机构地区：[1]中国铁路南宁局集团有限公司科学技术研究所,广西南宁530029

出　　处：《铁道运营技术》2025年第1期13-16,共4页Railway Operation Technology

基　　金：中国铁路南宁局集团有限公司科技研究开发计划:装卸车作业图像自动处理系统研究(货22-3).

摘　　要：针对铁路各货运中心装车作业拍摄照片分类归档处理耗费大量劳力和时间的问题,研制出一种装卸车图像自动处理系统。该系统利用自动识别技术,能精准提取照片车号,依此将同辆车照片分类,自动存至指定文件夹,实现图片自动分类存储。该系统大幅缩减手动归档时间,使业务人员摆脱繁重重复劳动,工作强度显著降低,劳动积极性得以提升,有效解决了原有问题,为铁路货运作业的高效开展提供有力支持。To tackle the labor-intensive and time-consuming tasks of classifying and archiving photos from railway freight center loading operations,an automatic image processing system has been developed.The system us⁃es advanced algorithms to accurately extract vehicle identification numbers(VINs)from photos.It then classifies and automatically files photos of the same vehicle into predefined folders by VINs,achieving au⁃tomated image categorization and archiving.This system significantly reduces manual archiving time.Rail⁃way freight workers are liberated from heavy,repetitive work,easing their work intensity and enhancing job motivation.Thus,the system effectively promotes the smooth and efficient operation of railway freight.

关 键 词：铁路货运 图像识别 文字识别 车号识别 自动分类 

分 类 号：U294.1[交通运输工程—交通运输规划与管理]