Gateway to Think Tanks
来源类型 | Report |
规范类型 | 报告 |
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 | 2014-07-02 |
出版年 | 2014 |
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.
|
摘要 | Law enforcement agencies across the country have quickly been adopting a new technology to combat auto theft and other crimes: automated license plate reader (LPR) systems. These systems can capture the image of the license plate of a passing vehicle and compare the plate number against official "hotlists" that show an array of infractions or reasons why it may be of interest to authorities. But because LPR technology is relatively new in the United States, opportunities and obstacles in its use in law enforcement are still under exploration. To examine issues about this technology, RAND conducted interviews with law enforcement officers and others responsible for procuring, maintaining, and operating the systems. Champions of LPR technology exist at many levels, from tech-savvy officers who use it every day, to chiefs who promote it, to other officials and policymakers who believe LPR technology is a significant force multiplier for police departments. Challenges exist, however, to realizing more widespread acceptance and use of the technology. Chief among these are privacy concerns related to the retention and potential misuse of LPR data, technical and bureaucratic impediments to sharing data among law enforcement agencies, and constraints on the availability of staffing and training needed to support LPR systems. |
目录 |
|
主题 | Cyber and Data Sciences ; Data Analysis ; Data Privacy ; Data Science ; 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/522524 |
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. |
条目包含的文件 | ||||||
文件名称/大小 | 资源类型 | 版本类型 | 开放类型 | 使用许可 | ||
RAND_RR467.pdf(863KB) | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
1495316370311.jpg(8KB) | 智库出版物 | 限制开放 | CC BY-NC-SA | ![]() 浏览 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。