Personalised Targeting for Shoppers

New advertising techniques are using facial recognition software to identify a shopper’s gender (with 85-90% accuracy), ethnicity and approximate age. With obvious attractions for marketers, they can then be targeted with ads for appropriate products – perfumes for women, for example.

Tokyo are also producing camera-equipped vending machines that suggest drinks to consumers according to their age and gender. Weather conditions and the temperature are taken into account too.

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