But we know that this flow of information has the potential for abuse. Augmented reality app Blippar already has a huge database of everyday objects and images that it can recognize. We can take a picture on our iPhone and quickly share it to Instagram or Snapchat or Twitter. Trusted at companies large and small. Our Premium Plans give you the tools to automate more, so you can work less. In this spirit, we teamed up with Google, Microsoft and Twitter last week on a new project aimed at establishing a common way for people to transfer their information into and out of online services. In the future, the company plans to use published content and news, combined with verified Facebook and Twitter accounts which usually belong to high-profile people to automatically upload more faces and create a much large database of public figures.
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Zapier eliminates the need for code. That raises the intriguing prospect that you could use the app to jog your memory when you just can't come up with the name of a friend you haven't seen in a while, or can't remember where you know someone from. Our editor was made for do-it-yourself automation. Search your app data on the fly and flesh out your Zaps with the results.
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But every one of those default apps has at least one alternative on the It's also good as a quick note-taker for individuals.
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You might see someone on the street you find attractive and use the app to find out who that person is so you can try to connect on social media, or even stalk that person if he or she has "checked in" at a particular location or listed a workplace.
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You may think this is brilliant, or disquieting, or both. There's only one problem with all this: Google and Facebook are two other companies--and not the only two--that use facial recognition algorithms routinely in various ways.
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|In other words, that phenomenon when you see an actor you just know you've seen before on television or in a picture but you can't quite place who it is and it's driving you up the wall?
Facebook in particular uses facial recognition algorithms on its database of more than a trillion images to guess who people are in photographs and suggest tags.
The less code they need the better. There's only one problem with all this: But really, the only new thing about Blippar is that it's putting its impressive facial recognition powers into users' hands.