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 at https://mdtf.org/.
-
Arun Vemury Senior Engineering Advisor, Biometrics; Biometric and Identity Technology Center Lead Department of Homeland Security
-
Human-AI Collaboration is Key to Secure Government Systems
Former CIA security chief emphasizes training and international standards for effective AI implementation.
23m watch -
How Integrated Analytics Can Break Federal Data Silos
The Coleridge Initiative is leading the charge to modernize government data management, breaking down bureaucratic barriers by providing secure data access, advanced analytics and cross-agency collaboration tools.
11m watch -
DISA Harnesses AI to Fortify Cyber Resilience
Brig. Gen. Michael Cornell details how automated alerts and responses enhance network stability and user experience.
11m watch -
Federal Agencies Tout Tech in President Trump’s First 100 Days
Defense modernization and health care restructuring landed among some of the key IT highlights within the president's first few months.
6m read
