Vanguard Magazine

Vanguard DecJan_2017

Preserving capacity, General Tom Lawson, Chief of the Defence Staff, Keys to Canadian SAR

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s securItY 24 DECEMBER 2016/JANUARY 2017 www.vanguardcanada.com h ow? I propose a new genera- tion of automated personal con- trol kiosks to be developed for border control services. Unlike even a decade ago, nowadays it is relatively easy to cheat current fingerprint-based identification systems. With growing pub- lic knowledge, more sophisticated security systems need to be invented and employed. The proposed kiosk will use state-of-the- art techniques to guarantee the highest level of security required by law enforce- ment and border control locations using a multi-step procedure. One idea is that such systems should be able to multi-task by identifying not only fingerprints, but also a variety of other bio- metrics solutions in a multi-step procedure. To do so, I propose a package consist- ing of human motion and action analysis, human face recognition, iris imaging (op- tional), and 3D ultrasonic fingerprint. This package is conditionally named "Red Carpet Kiosk (RCK)" based on the idea that individuals would walk along a pathway for a few meters before facing an officer. RCK records in real-time an individual's body motion and habits, face image in dif- ferent positions, face image with straight angle to camera, iris images and, finally, fingerprints. The system immediately provides this information to the officer in any format re- quested by Border Control Services. This proposed self-operating RCK can provide services faster and more accurately than what we have presently and will re- quire fewer officers compared to traditional border crossing controls, thanks to several layers of sophisticated identity verification tools. In its advanced mode, RCK can also monitor individuals for any unexpected activity, such as potential terror actions in places like airports, train stations, or stadi- ums. These specific modifications can also be applied for advanced security control in government buildings, military restriction zones, nuclear plants, banks, hospitals, etc. human face recognition Computerized automatic human face rec- ognition is mostly referred to as the devel- opment of algorithms and software pack- ages to elevate computers' understanding of human facial features resulting in human by roman gr. maev The red CarpeT KiosK Using advance facial recognition, iris imaging, and 3D ultrasonic fingerprinting to create a state-of-the-art border services screening system Figure 1 Sample images from the Labeled Faces in the Wild (LFW) database, University of Massachusetts, Amherst. As illustrated here, real life images of an individual can be different in terms of pose, occlusion, illumination, and age, which makes automated computerized face recognition difficult.

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