Gateway to Think Tanks
来源类型 | Research Reports |
规范类型 | 报告 |
ISBN | 9780833087102 |
来源ID | RR-467-NIJ |
License Plate Readers for Law Enforcement: Opportunities and Obstacles | |
Keith Gierlack; Shara Williams; Tom LaTourrette; James M. Anderson; Lauren A. Mayer; Johanna Zmud | |
发表日期 | 2014 |
出版年 | 2014 |
页码 | 120 |
语种 | 英语 |
结论 | License plate reader (LPR) systems, while initially used to detect stolen vehicles and plates, are increasingly being tapped for a variety of investigations.
Many privacy advocates have challenged the practice of storing LPR data not associated with a specific crime.
LPR systems can be beneficial in providing assistance in any type of investigation, provided the necessary data are available to support the systems.
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摘要 |
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主题 | Cyber and Data Sciences ; Data Mining ; Databases and Data Collection ; Analysis ; and Processing ; Information Privacy ; Law Enforcement ; Transportation Technology |
URL | https://www.rand.org/pubs/research_reports/RR467.html |
来源智库 | RAND Corporation (United States) |
资源类型 | 智库出版物 |
条目标识符 | http://119.78.100.153/handle/2XGU8XDN/107836 |
推荐引用方式 GB/T 7714 | Keith Gierlack,Shara Williams,Tom LaTourrette,et al. License Plate Readers for Law Enforcement: Opportunities and Obstacles. 2014. |
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文件名称/大小 | 资源类型 | 版本类型 | 开放类型 | 使用许可 | ||
x1495316370311.jpg(8KB) | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
RAND_RR467.pdf(885KB) | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 |
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