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.
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Arun Vemury Senior Engineering Advisor, Biometrics; Biometric and Identity Technology Center Lead Department of Homeland Security
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How to Help Tech Cross the Valley of Death
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Humanizing Cybersecurity Through a ‘Safer Shift’
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