Helping people recognise faces, detect deception, and make better decisions when it matters most.
Our research focuses on face recognition, memory, and artificial intelligence in real-world settings such as policing, security, and online environments.
We study how people recognise faces, remember events, and make decisions in real-world situations—from policing and border security to everyday online interactions.
Presenting research to policymakers and practitioners
Interactive tools used by hundreds of thousands of people
Communicating research through national and international media
Test your ability to recognise faces and compare your performance globally.
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Test your ability to recognise faces and compare your performance globally.
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Sign up to take part in research studies and contribute to new discoveries.
Join →Access a widely used face matching dataset for research and applied use.
Request access →Why people vary dramatically in their ability to recognise unfamiliar faces—from face blindness to super-recognisers.
How people compare faces across images, such as passports and CCTV, and why errors occur in real-world settings.
How people remember events and faces, and why memory can be unreliable in legal and forensic contexts.
Improving how faces are identified in policing, security, and legal systems.
How people interpret evidence and make judgments in high-stakes situations.
How people detect AI-generated faces and interact with emerging technologies like deepfakes.
Understanding how people recognise faces
Studies why some people are exceptionally good—or poor—at recognising identity, and how this can be applied in policing and security.
Email: david.white@unsw.edu.au
Across television, radio, print, and online platforms, our work has reached millions of people and contributed to public conversations about identity, decision-making, and emerging technologies. We regularly provide expert commentary on topics including deepfakes, eyewitness memory, and forensic identification.
Super-recognisers can identify faces others miss — our research explains why.
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The Unfamiliar Face Identification Group (UFIG) brings together researchers, practitioners, and organisations working on face identification in real-world settings.
UFIG connects government, police, industry, and academic researchers to address key challenges in unfamiliar face identification—from human performance to AI systems and legal implications.
This work has both scientific and practical impact, improving how identities are verified in contexts like border control, policing, and security systems.
The Unfamiliar Facial Identification Group Meeting (UFIG2026) took place on:
Monday 2nd February – Tuesday 3rd February 2026
The University of New South Wales, Sydney
The two-day event featured presentations from practitioners and academics, in-depth discussions, and networking opportunities
The 2027 event is scheduled to be held Jan-Feb at the University of Queensland.
For enquiries: UFIG@unsw.edu.au