Acquisition of Instrumentation for Engineering Research in Advanced Security Detection Systems

采购先进安全检测系统工程研究仪器

• 批准号: 0421282
• 负责人: Lawrence Holder
• 金额: $ 25万
• 依托单位: University of Texas at Arlington
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2004
• 资助国家: 美国
• 起止时间: 2004-09-01 至 2007-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0421282&HistoricalAwards=false
• 关键词: Acquisition; Instrumentation; Engineering; Research; Advanced

This project, constructing an advanced security detection system portal that integrates many individual functions of current systems, focuses on the physical security aspects integrating a variety of detection mechanisms, such as chemical and biological sensors. The work supports research in fundamental areas related to security detection, monitoring, prototyping, prevention, and recovery. Investigating fundamental research issues in security detection, the project involves prototyping a walk-through security portal that uses a variety of sensors (visible, infrared and millimeter wave images, metal and air detection data) along with X-ray baggage scanning information and other information about the individual to determine the threat level. The analysis of the fusion of all such data from heterogeneous devices is expected to yield more accurate assessment than any one of more sensors analyzed individually. The equipment supports research and development of advanced detection systems for secured entry through the use of multiple, network-integrated sensors. The approach encompasses several interdisciplinary research areas including Smart sensors, Wireless sensor and data networks, Sensor fusion, Pervasive computing,Image processing, andDatabases and data mining.Research in smart sensors improves the ability to distribute sensors in a secured-entry portal and develop techniques for sensing at a distance (e.g., gases and materials). Image sensors (visible, infrared and millimeter wave) support research in image processing and concealed weapon detection. Biometric sensors and RFID tag technologies also provide a rich source of information for controlling access to high security areas. Micromechanical systems (MEMS) research develops wireless microsensors for detection of toxins. Sensor networking and fusion coupled with database research develop new methods for collecting, exchanging, processing, and understanding large amounts of real-time sensory information. Higher-level data integration and data mining research contribute new techniques for learning and assessing threat levels, and more efficient personnel and baggage screening. This instrumentation complements current research on Pervasively Secure Infrastructures (PSI) by integrating secure-entry capabilities into a more general approach to securing an environment, such as mass transit and shopping malls.Broader Impact: The instrumentation provides resources for the Institute for Research In Security (IRIS). This institute facilitates multidisciplinary, collaborative research to improve the ability to maintain secure and usable environments. IRIS collaborates with several public safety and law enforcement agencies in developing and deploying leading-edge technologies in existing and future environments. The work will be disseminated through open houses, public demonstrations, publications, multi-disciplinary course and the web-site. Public demonstrations will target K-12 students.The funds requested include the equipment listed below and associated expenses.MEMS Wireless Sensor Networking Testbed, Millivision Vela125 Scanning Booth, PowerView Stereoscopic PIV systems, Smith Detection X-Ray Baggage scanner, etc.

该项目构建了一个先进的安全检测系统门户，集成了当前系统的许多单独功能，重点关注物理安全方面，集成了各种检测机制，如化学和生物传感器。这项工作支持与安全检测、监控、原型设计、预防和恢复相关的基本领域的研究。该项目调查了安全检测的基础研究问题，涉及原型设计一个步行通过的安全门户，该门户使用各种传感器（可见光、红外线和毫米波图像、金属和空气检测数据），沿着X射线行李扫描信息和有关个人的其他信息，以确定威胁级别。对来自异构设备的所有此类数据的融合的分析预计将产生比单独分析的多个传感器中的任何一个更准确的评估。该设备支持研究和开发先进的探测系统，通过使用多个网络集成传感器实现安全进入。该方法包括几个跨学科的研究领域，包括智能传感器，无线传感器和数据网络，传感器融合，普适计算，图像处理，以及数据库和数据挖掘。智能传感器的研究提高了在安全入口门户中分布传感器的能力，并开发了远距离传感技术（例如，气体和材料）。图像传感器（可见光、红外线和毫米波）支持图像处理和隐藏武器探测的研究。生物识别传感器和RFID标签技术还为控制进入高安全区域提供了丰富的信息来源。微机械系统（MEMS）研究开发了用于检测毒素的无线微传感器。传感器网络和融合与数据库研究相结合，开发了收集、交换、处理和理解大量实时传感信息的新方法。更高层次的数据集成和数据挖掘研究为学习和评估威胁等级以及更有效的人员和行李检查提供了新技术。该仪器补充了目前的研究普遍安全的防盗结构（PSI）集成到一个更一般的方法，以确保环境，如公共交通和购物malls.Broader影响：仪器提供资源的研究所在安全（IRIS）。该研究所促进多学科的合作研究，以提高维护安全和可用环境的能力。IRIS与几个公共安全和执法机构合作，在现有和未来的环境中开发和部署领先的技术。将通过开放日、公众演示、出版物、多学科课程和网站传播这项工作。公开演示将针对K-12学生。申请的资金包括以下列出的设备和相关费用：MEMS无线传感器网络测试床，Millivision Vela 125扫描亭，PowerView立体PIV系统，Smith Detection X射线行李扫描仪等。