Google’s Art & Culture app has an amusing new feature. If you take a selfie within the app, it finds your look-alike in a work of art. Google compares your face to over 70,000 artworks in their Art Project database and then tries to find your doppelgänger. Sometimes the results are stunningly accurate. But at other times they’re just hilarious.
Japanese app developer Kazuya Noshiro has recently introduced an app he’s working on. It uses iPhone X’s face-tracking feature in the creepiest and the coolest way possible: it makes his face invisible. In a short video he shared, he shows off his see-through face and the room behind him. It’s unsettling and amazing at the same time.
We recently reported about Facebook’s captcha that requires your selfie if your account gets locked. Yesterday they announced a couple of new features, again focusing on the photos of your face. The new tools rely on facial recognition, and according to Facebook, they will “help people better manage their identity” on this social network.
If you happen to be locked out of your Facebook account, you may soon need to upload a selfie to prove your identity and be able to log back in. As a matter of fact, it seems that Facebook has already started implementing this captcha. In case they notice suspicious activity on your account, you will be asked to “upload a photo of yourself that clearly shows your face.” After it’s verified, you will be allowed to log back in.
The South Wales Police confirmed this Tuesday that they’ve arrested a man thanks to the automatic facial recognition technology (AFR). As they confirmed to Ars Technica, this was the first time AFR was used to perform an arrest, although it has been used for a while by the UK police forces.
The officers used a camera-equipped surveillance van to scan the passers-by. The AFR recognized the face of a man from the police’s database, which led to the arrest.
This time last year, there was a pretty big fuss about FindFace, an app that uses facial recognition to discover people’s identities with pretty high reliability. But for 33-year-old Fu Gui from China, facial recognition technology turned out to be life changing. It helped him find his family and reunite with them after being apart for 27 years.
There’s been a lot of buzz lately around AI, “deep learning”, computer vision. It’s all to do with image recognition. Apple and Google have also been implementing it with their mobile operating systems to help categorise your shots. Facebook also does this, too, although it rarely makes itself obvious. It’ll often see faces, and ask if you want to tag somebody. Sometimes it’ll even recognise the person. But that’s about it.
Facebook actually looks at a whole lot more, though. If you want to go digging through page source, you can find this information out yourself. But, it’s a bit of a hassle. Now, a new Chrome extension overlays the information right on top of the image in your browser. While primarily intended for those who use screen readers, it does offer insight into how Facebook automatically reports or censors certain images.
With facial recognition technology you can take pictures of people in the street, run them through publicly available photographs online, and get a match.
You would have heard this statement if you had been listening to the 20 September 2016 episode of Seriously on BBC Radio 4, called ‘The Online Identity Crisis’. I only heard it yesterday, though, as I caught up with it by podcast. It did, however, set me thinking. Just how likely, or easy, is it that someone should take a photo of me in the street, run said image through facial recognition software, and be able to identify me?
Well, this could be quite the problem for privacy advocates everywhere. In locations such the UK, it could cause even cause legal issues for things like the Data Protection Act. Pixelating faces is used throughout the world to conceal identities on camera. Often it’s to protect their identity. Sometimes they need protection, sometimes they’re caught in the background of footage about something else, and sometimes you just forgot to get a release signed.
Wired reports that researchers at the University of Texas at Austin and Cornell Tech claim to have trained a piece of software to see through it. The scariest thing about this is that the technology is already out there. They didn’t actually have to develop any new tools, simply feed a new set of data using existing facial recognition methods. The software then figured it out all by itself.
The internet is slowly (and painfully) discovering that security is a hard mistress. I mean fingerprints have been hacked, and passwords have not been delivering for a long time. Next step was having a camera look at your face to see if you are really you.
Of course, the early systems could be hacked with a high quality printed photo. So security added a “check if it’s alive” method. That in turn was hacked using tablets and videos. The next step was to check if the received images makes sense (so videos were out). But then hackers started using 3D printed masks.
But 3D masks are hard to create. Why not just grab a few of your social media photos, and use those to create a model that looks so real that it fools security systems.
And this is what the team at University of North Carolina did.