This is a virtual Industry Day for the Silicon Valley Innovation Program (SVIP) Human Performance and Resiliency topic call.
Using data gathered from the 2018 Biometric Technology Rally, we show that commercial face, but not iris, recognition algorithms use features associated with race and gender to establish individual identity.
The Science and Technology Directorate's (S&T's) biometrics screening activities include engagement with mission stakeholders, analysis of port of entry operations, identifying critical and emerging needs, and developing transformational concepts of operation to address the operational requirements of Department of Homeland Security components.
The Science and Technology Directorate’s (S&T’s) Biometrics and Identity Management program develops and evaluates more effective biometric and identity technologies to optimize existing inspection and screening operations for people at POE, transportation security checkpoints, secure facilities, and online systems.
This unique four-part series highlights how S&T and its partners across government are mobilizing research and development (R&D) teams to reduce risks from natural and human-induced disasters; accelerating breakthrough discoveries; and helping the nation prepare against future threats and unknowns.
Since 2014, DHS S&T has performed scenario testing of biometric systems, to measure their performance across diverse demographic groups.
DHS S&T hosted a first-of-its-kind event to understand the product landscape of technologies that can assist in protecting the privacy of individuals appearing in photos and videos.
DHS S&T invites biometric technology developers to apply to participate in the 2021 Biometric Technology Rally.
This paper provides a better understanding of how biometric systems work in- high-throughput, public environments like airports and border crossings. Biometric systems include both face acquisition systems (i.e., cameras) and face recognition algorithms. This report measured the performance of 10 commercial face acquisition systems and 8 face recognition algorithms on 430 diverse people in an operationally relevant scenario test, simulating an airport biometric checkpoint.
The Biometric and Identity Technology Center focuses on methods, tools, and technologies to recognize individuals and protect sensitive personal information through advanced biometrics and other capabilities.