David White

Rear view of a NSW police officer

Finding police officers with superior face recognition abilities is now backed by science.

blurred crowd of unrecognisable face on the street

Research combining wearable eye-tracking technology and AI body detection software suggests our eyes aren’t drawn to the faces of passers-by as much as previously thought.

Police looking at faces on a computer

A face matching test has been updated to find super-recognisers who can help prevent errors caused by face recognition software.

A collage of faces

Psychologists are hoping the UNSW Face Test will help unearth more of Australia’s top performers in facial recognition, known as super-recognisers.

UNSW Library Building

The Fellows have been awarded more than $9.5 million to conduct research projects in engineering, arts and social sciences, law and science. 

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Even the world’s best available training – used to train police, border control agents and other security personnel – does not compensate for natural talent in face recognition.

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Same person or different person? Most people are extremely good at recognising faces of people they know well, but not so much strangers.

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The first study to compare performances of trained facial examiners, super-recognisers, and facial-recognition algorithms, has revealed a combination of human and computer decision-making is most accurate.

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Picking the right social media profile image is critical. So if you want to put your best face forward, get a stranger to make the choice for you.

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Face-matching experts using automatic face recognition software at the Australian Passport Office are 20% more accurate than average people at detecting fraud, new research shows.

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