How AI Will Continue to Advance Biometric Tech
Biometric technology has seen remarkable advancements in recent years, especially in areas like facial recognition.
Arun Vemury, senior advisor for biometric and identity technologies at the Department of Homeland Security, shared how error rates in facial recognition have dropped tenfold over the past decade thanks to machine learning. He also highlighted the growing use of digital credentials such as mobile driver’s licenses and emphasized the importance of rigorous testing to ensure these technologies’ reliability.
Vemury discussed the Remote Identity Validation Technology Demonstration (RIVTD) project, which evaluated technologies for credential validation, selfie-to-document matching and presentation attack detection, with some results available with Maryland Test Facility.
-
Arun Vemury Senior Engineering Advisor, Biometrics; Biometric and Identity Technology Center Lead Department of Homeland Security
-
IC Agencies ‘Operate in the Gray’ to Accelerate Acquisition
Intelligence agencies are increasingly moving from traditional contracting models to a more outcome-based mindset.
5m read -
Coast Guard Software Yard Accelerates Secure Application Development
Coast Guard’s infrastructure official shared how the effort strengthens application development and cybersecurity.
8m watch -
Navy CTO on the Service’s AI-First Push
The service is focused on increasing speed and scale for software development and AI.
7m watch -
How Tech Advancements Support Military, Veteran Healthcare
The Department of Veterans Affairs and the Department of War are deploying a variety of technology-supported services to help warfighter and veterans behavioral health.
30m watch Partner Content
