Combatting Drug Crime in the United Arab Emirates: A Drone-Based System for Monitoring and Tracking Suspects

Omar Alamir, H. Allam, Muna H. Lootah, Medeya Suwaidi, Sareh Parvaz
{"title":"Combatting Drug Crime in the United Arab Emirates: A Drone-Based System for Monitoring and Tracking Suspects","authors":"Omar Alamir, H. Allam, Muna H. Lootah, Medeya Suwaidi, Sareh Parvaz","doi":"10.1109/ITT59889.2023.10184245","DOIUrl":null,"url":null,"abstract":"The United Arab Emirates is facing a significant challenge with drug addiction, trafficking, and promotion within its borders. According to Dajani, 6.1 people per million have died from drug use [1]. To address this issue, the Ministry of Interior is dedicated to ensuring the safety and stability of its citizens and residents through improvements in monitoring and tracking systems, communication networks, and collaborative efforts in the maritime, land, and air domains with its partners. Despite the increasing number of drug-related crimes, the UAE is focusing on implementing advanced technologies to swiftly apprehend suspects and reduce the drug crime index. Drug trafficking and usage in the UAE has been a persistent problem since the 1980s, with a high rate of drug-related deaths recorded by Dubai Police in 2001. Over 3.5 tons of drugs were recovered, and 1,307 individuals were arrested for drug-related offenses such as possession, misuse, and sale. Heroin and Hashish were the most commonly used substances. To minimize drug-related crimes and protect society, this paper proposes a drone-based system.","PeriodicalId":223578,"journal":{"name":"2023 9th International Conference on Information Technology Trends (ITT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 9th International Conference on Information Technology Trends (ITT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ITT59889.2023.10184245","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

The United Arab Emirates is facing a significant challenge with drug addiction, trafficking, and promotion within its borders. According to Dajani, 6.1 people per million have died from drug use [1]. To address this issue, the Ministry of Interior is dedicated to ensuring the safety and stability of its citizens and residents through improvements in monitoring and tracking systems, communication networks, and collaborative efforts in the maritime, land, and air domains with its partners. Despite the increasing number of drug-related crimes, the UAE is focusing on implementing advanced technologies to swiftly apprehend suspects and reduce the drug crime index. Drug trafficking and usage in the UAE has been a persistent problem since the 1980s, with a high rate of drug-related deaths recorded by Dubai Police in 2001. Over 3.5 tons of drugs were recovered, and 1,307 individuals were arrested for drug-related offenses such as possession, misuse, and sale. Heroin and Hashish were the most commonly used substances. To minimize drug-related crimes and protect society, this paper proposes a drone-based system.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
在阿拉伯联合酋长国打击毒品犯罪:一种基于无人机的监控和跟踪嫌疑人的系统
阿拉伯联合酋长国正面临着在其境内吸毒、贩运和促销的重大挑战。根据Dajani的数据,每百万人中有6.1人死于吸毒[1]。为了解决这一问题,内政部致力于通过改进监测和跟踪系统、通信网络以及与合作伙伴在海上、陆地和空中领域的合作努力,确保其公民和居民的安全与稳定。尽管与毒品有关的犯罪越来越多,但阿联酋正致力于采用先进技术,迅速逮捕嫌疑人,降低毒品犯罪指数。自1980年代以来,阿联酋的毒品贩运和使用一直是一个持续存在的问题,2001年迪拜警方记录的与毒品有关的死亡率很高。缴获毒品超过3.5吨,逮捕毒品持有、滥用、贩卖等犯罪嫌疑人1307人。海洛因和大麻是最常用的物质。为了最大限度地减少毒品犯罪,保护社会,本文提出了一个基于无人机的系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
ITT 2023 Cover Page Smart Irrigation with Recycled Water: A Promising Solution for Sustainable Farming Decoding the Black Box: A Comprehensive Review of Explainable Artificial Intelligence Vaxina: Decentralized Vaccination Tracking System Lightweight Convolutional Network For Automated Photovoltaic Defect Detection
wanfang
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1