Blippar: Your Phone May Recognize You, Not Just a Product

January 4, 2017

I read “Blippar AI Visual Search Engine Recognizes Faces in Real Time.” The main point of the write up is that you can point your phone at something, and the phone will recognize that thing or person. The flip side is that if your phone has a camera which can see you, your phone makes it easy for “someone” to recognize you. Isn’t that special? Blippar info is at this link.

I learned:

Blippar expanded its augmented reality visual search browser on Tuesday to recognize faces in real time with a simple smartphone camera and return information about that person.

The write up talks about how consumers will drool over this feature. My thought was, “Gee, wouldn’t that function be useful for surveillance purposes?”

The write up included this statement:

The feature allows users to point the camera phone at any real person or their image in a picture on television and the Blippar app returns information about the person from the company’s database filled with more than three billion facts. Real-time facial recognition is the latest tool, amidst expansion in artificial intelligence and deep-learning capabilities.

Yep. Just another “tool.”

Blippar includes a feature for humans who want to be recognized:

For public figures, their faces will be automatically discovered with information drawn from Blipparsphere, the company’s visual knowledge Graph that pulls information from publicly accessible sources, which was released earlier this year. Public figures can also set up their own AR Face Profile. The tool enables them to engage with their fans and to communicate information that is important to them by leveraging their most personal brand — their face.  Users also can create fact profiles — Augmented Reality profiles on someone’s face, which users create so they can express who they are visually.Users can view each other’s profiles that have been uploaded and published and can add pictures or YouTube videos, as well as AR moods and much more to express themselves in the moment.

Why not convert existing images to tokens or hashes and then just match faces? Maybe not. Who would want to do this to sell toothpaste?

Stephen E Arnold, January 4, 2017

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