摘要
由于海关检查人员的木材分类专业知识参差不齐,进口的珍稀和濒危木材常被伪报成普通木材以逃避监管,因此开发基于Web的木材图像远程鉴定系统,为检查人员提供便捷的木材种类自动识别工具。木材图像远程鉴定系统包括Web端、木材数据库与服务器端,其中服务器端包括应用服务器与木材图像识别服务器。将算法模型部署在木材图像服务器上,通过应用服务器请求识别服务器,识别服务器调用算法模型识别结果。当海关检查人员遇到不认识的木材时可上传木材图像,后台服务器进行识别,完成后反馈信息并显示。该系统可实现120种进出口贸易中常见木材的信息查询、智能识别、专家在线支持等功能,针对120种木材图像的平均识别准确率为95.7%,可为海关木材检查人员提供快速的木材种类鉴定辅助工具,大大节省了经济与时间成本。
Due to different levels of customs inspectors in wood classification,some rare and endangered woods are often forged as common woods for avoiding national supervision. To provide a convenient automatic identification tool of wood species for customs inspectors,a remote identification system of wood images based on Web was developed. The wood image remote identification system includes Web side,wood database and server side,where the server side includes application server and wood image recognition server.The algorithm model is deployed on the wood image server,the identification server is requested through the application server,and the identification server calls the algorithm model identification results. When a customs inspector encounters a wood he does not recognize,he uploads the wood image and the backend server gives feedback and displays the information after the recognition is completed.The system provides the wood information search,the intelligent wood species identification and expert online support for 120 species of common woods in import and export trade,120 types of wood images have an average recognition accuracy rate of 95.7%,which provides a support tool for identifying quickly wood species to customs inspectors and greatly saves economic and time costs.
作者
韩爽
吕军
丁志平
赵剑锋
陈旭东
周强
张哲宇
姚青
HAN Shuang;LYU Jun;DING Zhi-ping;ZHAO Jian-feng;CHEN Xu-dong;ZHOU Qiang;ZHANG Zhe-yu;YAO Qing(School of Information and Technology,Zhejiang Sci-Tech University,Hangzhou 310018,China;Zhangjiagang Customs House,Zhangjiagang 215600,China;Hangzhou Tuocao Technology Co.,Ltd.,Hangzhou 311500,China)
出处
《软件导刊》
2022年第2期132-137,共6页
Software Guide
基金
国家级大学生创新创业训练计划项目(201910338013)。
关键词
WEB
木材图像
远程鉴定
深度学习
图像识别
Web
wood images
remote identification
deep learning
image identification
