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ITL updates biometric verification device with spoof detection

Offering three layers of biometric protection
 

biometric facial recognition

Age verification solutions provider Innovative Technology (ITL) has announced an upgrade to its ICU face biometric age and identity verification device to provide non-intrusive spoof detection for its range of facial recognition applications.

The tool is now suitable for three separate services, the company says: age verification to automate to control access to age-restricted goods and services, facial recognition to verify and identify individuals, and face-covering detection for safety requirement compliance.

ICU was originally launched in 2019 and has in the past three years been updated to include an array of new features.

One of those is the introduction of non-intrusive biometric spoof detection which can be deployed to prevent various fraudulent presentation attacks.

The presentation attack detection (PAD) features can detect attacks using videos or photographs via smartphones, as well as the stolen selfies that have recently been reported widely available for sale on the internet for biometric spoof purposes.

“The great thing is no specialized cameras are required for our spoof detection;” said Dr. Andrew O’Brien, ICU Product Manager. “It can be easily integrated with a standard camera to create an intelligent identifier. “

According to O’Brien, ICU’s multi-layered spoof detection approach also works in the background, thus retaining a pleasant user experience, while also providing an extra level of intelligence that improved the performance of the platform.

An internet connection is only required for setting up and updating the biometric database, with all age verification and facial recognition system processes being performed locally to provide a more reliable output and faster response.

“This upgraded version of ICU also boasts more memory which allows for a larger database of faces to be stored locally,” added Christian Czeskleba, ICU Business Development Manager for ITL. “It delivers a fast output ensuring seamless, quick, and secure customer transactions. We are also exploring new developments to enable further demographic data to be identified.”

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