FlySwipe Taps Facial Recognition for TV Ad Targeting

In the US, targeted TV ad specialist FlySwipe has developed a technology that uses facial recognition and big data to determine which ad to place in front of a TV audience, based on its balance of gender and age.

FlySwipe offers data modelling and behavioral services using 'six billion attributes' - based on digital viewing habits, Internet activity, buying habits and public records - to target TV viewers across their devices. Its new Audience Recognition Technology (ART) platform can distinguish TV viewers, and match multiple attributes against the inventory of ads to deploy. The platform can also determine a mixed gender audience, or a mixed age group, and act accordingly to deliver the most appropriate ad based on a brand's requirement.

ART also boasts the ability to freeze the broadcast of any adult content that is being watched if a child walks into the room, and to stop children from using a parent's login details to view pay or adult content, with logging in to protected content achieved by simply looking at the TV screen.

William Delisi (pictured), Managing Partner and lead ART architect, comments: 'The increase in TV everywhere subscribers, OTT platforms, streaming digital set-top boxes and mobile devices is opening up new ways to improve and manage security, advertising, publishing and broadcast controls. FlySwipe is on the forefront of delivering state of the art broadcast technology using AI and facial recognition to meet the demands of this trend'.

Web site: www.flyswipe.com .

All articles 2006-23 written and edited by Mel Crowther and/or Nick Thomas, 2024- by Nick Thomas, unless otherwise stated.