Enhanced biometrics system with object detection for airport airside access

增强型生物识别系统，可检测机场禁区的物体

• 批准号: 524176-2018
• 负责人: Maev, Roman
• 金额: $ 1.82万
• 依托单位: University of Windsor
• 依托单位国家: 加拿大
• 项目类别: Engage Grants Program
• 财政年份: 2018
• 资助国家: 加拿大
• 起止时间: 2018-01-01 至 2019-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=658407
• 关键词: Enhanced; biometrics; system; object; detection

To ensure safety of people and cargo, airports follow strict procedures when it comes to the movement of**individuals throughout various areas. One of the most critical areas of any airport is "airside" (everything**outside of the terminal building), which is the area where aircraft are operated. Biometric technologies have for**many years been used as a way of automating screening of individuals and automated access permission. IDIR**has developed a number of incremental improvements to existing biometric technologies, and will work with a**successful regional airport, Greater Sudbury Airport, to tailor these developments to the needs of the**transportation sector, using the expertise of the airport security staff. As a result of the project, airside access**security will be researched and characterized from an automation perspective, and facial/object recognition**video processing hardware and algorithms will be developed and installed to improve the current access**systems. As well, a 3D fingerprint system will be installed to improve the matching confidence for access**systems. The project will result in an enhanced automated access technology prototype that has potential to**scale to larger airports and other transportation hubs. The project will provide training and HQP opportunities**to Northern Ontario, and will further the state of the art of the biometrics sector.

为了确保人员和货物的安全，当涉及到人员在不同地区的流动时，机场遵循严格的程序。任何机场最关键的区域之一是“机场侧”(航站楼外的所有东西)，也就是飞机运行的区域。多年来，生物识别技术一直被用作自动筛选个人和自动访问许可的一种方式。IDIR**已经对现有的生物识别技术进行了一些渐进的改进，并将与**成功的地区性机场--大萨德伯里机场合作，利用机场安全人员的专业知识，根据**运输部门的需求定制这些开发。作为该项目的结果，将从自动化角度研究和表征机场侧通道**的安全性，并开发和安装面部/对象识别**视频处理硬件和算法，以改进现有的通道**系统。此外，还将安装3D指纹系统，以提高Access**系统的匹配信心。该项目将产生一个增强的自动接入技术原型，有可能**扩展到更大的机场和其他交通枢纽。该项目将为安大略省北部提供培训和HQP机会**，并将进一步发展生物识别领域的最先进水平。