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Ms Stewart has set this at thumbs up for 10%, the peace sign for 15%, and the shaka or "hang loose" sign for 20%. PopID is based in Los Angeles, and is now used by about 70 independent restaurants and cafes across a handful of US cities, mainly on the West Coast. image copyright Getty Images image caption Ms Stewart uses the shaka sign, pictured, if she wants to tip 20% The firm's chief executive John Miller says: "Our view is that using your face to pay is no different [than using your phone]. "It's just another way to identify yourself. The [digital] picture [taken at point of sale] is destroyed immediately, and the data isn't shared with anyone. " In fact, he argues that it's less intrusive than paying by your mobile phone, because a phone can track your location at all times via GPS. He adds that the photos stored by PopID are mathematical maps of unique facial vectors, not actual photographs. Currently PopID requires the user to temporarily lower his or her facemask, but the firm says it is updating its systems so that this will not have to be done in the future.
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By Richard Baimbridge Business reporter image copyright Sara Stewart image caption Sara Stewart pays for lunch at her favourite Mexican restaurant simply by looking at a screen Sara Stewart strolls into a small Mexican restaurant in Los Angeles and orders a torta, a type of sandwich. To pay she simply looks at her reflection in a small LCD screen attached to the cashier's counter. Then to add her preferred amount of tip she flashes a quick peace sign at the monitor. The entire process takes less than five seconds, and is entirely contactless. Moreover, Ms Stewart doesn't need to carry her mobile phone or bank card with her, or show any form of identification, or even enter a pin number. Welcome to the futuristic world of facial recognition payment. It might sound like something from a science fiction movie, but this kind of transaction is already happening millions of times a day across China's major cities. With the technology now being introduced in the US, and other countries such as Denmark and Nigeria, are we all going to be using it within a few years' time?
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Brett King, an expert on the future of banking and payment systems, believes it will - unless governments choose to stop it. New Tech Economy is a series exploring how technological innovation is set to shape the new emerging economic landscape. The author of a book called Banking 4. 0, he says that the exact measurements and features of your face are actually more secure than your account passwords. "Facial payment is part of the growing digital identity structure.... I appreciate the concerns about privacy, but the reality is that a [face-based] digital identity structure is inevitable for safety and security. "[Digital] payments, transactions and services are becoming more and more imbedded in our life, and in our world, and that's definitely going to require biometrics, because passwords are simply not secure enough. " image copyright Brett King image caption Brett King says the technology is more secure than having to type in a password Mr King adds that many users of Apple phones are already happy to use facial recognition to access their handsets, and that the facial payment systems are just an extension of that.
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Almost all (98%) of mobile payments in China goes through just two apps - Alipay (owned by ecommerce giant Alibaba) and WeChat Pay - and both are racing to install their facial recognition systems across the country. Alipay is spending three billion yuan ($420m; £300m) over three years, and according to Chinese state media, 760 million people will be using facial recognition payments by next year. Wang Bing, from the Luoyang Vocational College of Science and Technology, in Henan Province, says the roll out has been fuelled by the coronavirus pandemic. image copyright Wang Bing image caption Wang Bing says the systems can't be fooled by people pretending to be someone else "The experience of Covid was huge in China in terms of bringing people into facial recognition systems, " he says. He adds that the software and camera systems are so advanced that they are impossible to trick, such as by stealing someone's photograph. The technology can also differentiate between identical twins. But will the technology take off in the rest of the world?