摘要
该文是基于震动传感器应用方式和特点,在安全防卫系统中建立微震动、微声音传感器网络,为军事防护重点单位、要害部位提供高灵敏度震动监测网络,从而及时发现侵袭目标,并能够定位目标。通过人脸识别实现人员身份自动认证,结合震动传感器采集到的大量样本信息,实现域内人员的步纹、声纹等智能识别,建立依靠多种手段采集的信息大数据系统,为日常安全管理策略提供依据和方法。
Based on the application mode and characteristics of vibration sensors,the paper establishes a network of micro-vibration and micro-sound sensors in the security defense system,which provides a high-sensitivity vibration monitoring network for key units and key parts of military protection,so as to discover the target in time and locate the target.Through face recognition,personnel identification can be automatically authenti-cated,and a large number of sample information collected by vibration sensors can be combined to realize intelligent recognition of footprint and voiceprint of personnel in the field.A big data system of information collected by various means can be established to provide basis and method for daily safety management strategy.
作者
张虎
Zhang Hu(Nanjing Hanrui Microwave Communication Co.,Ltd,Jiangsu Nanjing 211100)
出处
《电子质量》
2019年第10期51-56,共6页
Electronics Quality
关键词
传感器
人脸识别
大数据
安全防卫
Vibration sensor
Face recognition
Big data
Security