Safety operations supporting the security of urban locations

被引:0
|
作者
Hiroaki, Toshihiko [1 ]
机构
[1] Data Science Research Laboratories, United States
来源
NEC Technical Journal | 2016年 / 11卷 / 01期
关键词
Criminal activities - Monitoring methods - Normal operations - Public safety - Safety and securities - Safety operations - Sensing - Video surveillance;
D O I
暂无
中图分类号
学科分类号
摘要
New types of criminal activity such as home-grown terrorism are becoming difficult to prevent by the traditional monitoring methods that focus on a visual black list matching. In the future it is expected that the utilization of various AI technologies as well as white list matching will make it possible to detect the unsuspected anomalies that are hard to discover or predict by human endeavor alone. Thereby it will be possible to adopt measures that will even be able to deal with new types of crime. The system design is also anticipated to shift from crime prevention market to normal operation management market, so that even greater value can be created. This paper outlines the viewpoint of NEC regarding surveillance solutions in support of the safety and security of urban locations and discusses progress in creating technologies that will provide support for them.
引用
收藏
页码:18 / 22
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