首页> 外文期刊>Artificial Intelligence Research >Design of a framework for combating human trafficking and kidnapping using smart objects and Internet-of-things
【24h】

Design of a framework for combating human trafficking and kidnapping using smart objects and Internet-of-things

机译:使用智能对象和互联网打击人口贩运和绑架的框架的设计

获取原文
获取原文并翻译 | 示例
           

摘要

The security problems arising from activities of terrorists, kidnappers and human traffickers in the world, at large, can be tackled using Information and Communication Technology (ICT) related approaches. This paper presents the framework of smart objects and Internet of Things (IoT) based system for achieving cost effective and time saving combat of human trafficking and kidnapping. The major components of the system are Sensor Processing Station (SPS), Media Server Station (MSS), Smart Engine Server (SES) and Digital Situation Room (DSR). The SPS is for signal sensing via a number of workstations equipped with video camera sensors, Radio Frequency Identification Card (RFID) tags to the Global Positioning System (GPS) receivers and body worn sensors while MSS will capture and store data from the sensor processing units on the cloud server. The SES will perform logical reasoning of the system such as motion detection, face recognition, position tracking and activities recognition, DSR will be used to monitor events in real-time and on-demand modes based on Internet Protocol version 6 (IPv6)-enabled communications. The work presents an integration of different technologies towards combating human trafficking and kidnapping with a view to enhance existing piecewise development.
机译:恐怖主义者,恐怖主义者和人口贩运者的行为在大大的情况下,可以使用信息和通信技术(ICT)相关方法来解决所产生的安全问题。本文介绍了基于智能对象和互联网(物联网)的框架,以实现人口贩运和绑架的成本效益和延时作战。系统的主要组件是传感器处理站(SPS),媒体服务器站(MSS),智能发动机服务器(SES)和数字情况室(DSR)。 SPS是通过配备有视频摄像机传感器的多个工作站的信号感测,射频识别卡(RFID)标签到全球定位系统(GPS)接收器和主体磨损的传感器,而MS将从传感器处理单元捕获和存储数据在云服务器上。 SES将对运动检测,面部识别,位置跟踪和活动识别等系统进行逻辑推理,DSR将用于基于Internet协议版本6(IPv6)的实时和按需模式中的事件进行监控事件通讯。该工作介绍了不同技术融合在抗击人口贩运和绑架方面,以提高现有分段发展。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号