全球智库信息集成服务系统(G2TT): Using Video Analytics and Sensor Fusion in Law Enforcement: Building a Research Agenda That Includes Business Cases, Privacy and Civil Rights Protections, and Needs for Innovation

G2TT

来源类型	Research Reports
规范类型	报告
DOI	https://doi.org/10.7249/RR2619
来源ID	RR-2619-NIJ
	Using Video Analytics and Sensor Fusion in Law Enforcement: Building a Research Agenda That Includes Business Cases, Privacy and Civil Rights Protections, and Needs for Innovation
	John S. Hollywood; Michael J. D. Vermeer; Dulani Woods; Sean E. Goodison; Brian A. Jackson
发表日期	2018
出版年	2018
页码	35
语种	英语
结论	Video analytics and sensor fusion are extremely promising technologies for improving public safety There are 22 high-priority needs for innovation to enhance the effectiveness and security of video analytics and sensor fusion (VA/SF) for law enforcement. VA/SF could be of great benefit in detecting crimes in progress and investigating crimes and incidents. VA/SF could support law enforcement by monitoring officer performance and protecting officers' health and safety. The risks of VA/SF technologies are significant, with security, privacy, and civil rights protections needed if these technologies are not to be misused or abused. While VA/SF technologies are indeed promising for supporting public safety, they have a long way to go before reaching their full potential.
摘要	Use of VA/SF technologies must be passive, not active. Implementing VA/SF technologies should start with improving capabilities to reliably detect baseline entities, activities, and events, and then adopt more sophisticated capabilities over time. Purposes for which these tools may and may not be used must be clearly defined by their implementing communities consistent with applicable law and policy. Implementation should start with basic model policy development and education, and over time include studying the use of technology to expedite policy and legal compliance.
主题	Big Data ; Civil Rights ; Crime ; Information Privacy ; The Internet ; Law Enforcement
URL	https://www.rand.org/pubs/research_reports/RR2619.html
来源智库	RAND Corporation (United States)
引用统计
资源类型	智库出版物
条目标识符	http://119.78.100.153/handle/2XGU8XDN/108707
推荐引用方式 GB/T 7714	John S. Hollywood,Michael J. D. Vermeer,Dulani Woods,et al. Using Video Analytics and Sensor Fusion in Law Enforcement: Building a Research Agenda That Includes Business Cases, Privacy and Civil Rights Protections, and Needs for Innovation. 2018.

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