Tag Archives | Facial Recognition

MasterCard Using Face Recognition Selfies To Approve Purchases

MasterCard credit card

Photo: Håkan Dahlström (CC)

How could this possibly go wrong? Mastercard is taking the “selfie” obsession to new heights with its plan to use facial recognition technology to approve purchases via selfies, as reported by CNN Money:

This fall, MasterCard will start experimenting with a new program: approving online purchases with a facial scan.

At checkout, you’ll be asked to hold up your phone and snap a photo. MasterCard’s thinking? It’s easier than remembering a password.

“The new generation, which is into selfies … I think they’ll find it cool. They’ll embrace it,” said Ajay Bhalla, who’s in charge of coming up with innovative solutions for MasterCard’s security challenges.
This is MasterCard’s way of cutting down fraud.

Currently, customers can set up something called “SecureCode,” which requires a password when shopping online. This stops credit-card-number-stealing hackers from actually using your card on the Web. It was used in 3 billion transactions last year, the company said.

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Facebook’s new algorithm can recognize you even if your face is hidden

There’s just no hiding from the archons of Facebook now that their algorithm can recognize you even if your face is hidden, as reported by Forbes:

The head of Facebook’s artificial-intelligence research lab says the software can identify users 83% of the time even if their face isn’t visible.

Facebook's Mark Zuckerberg for WIRED magazine

Mark Zuckerberg for WIRED magazine by Charis Tsevis, on Flickr (CC)


We are just beginning to come to grips with the idea that computers and algorithms can recognize our faces, and the implications that has for privacy. Now the head of Facebook’s artificial-intelligence research lab says that an experimental algorithm he helped develop for the giant social network can recognize you with a high degree of accuracy even if your face is hidden from the camera.

Yann LeCun, an expert in computer vision and pattern recognition who was hired by Facebook in 2013, presented his research at a recent conference in Boston.

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Churches Tracking Attendance With Facial Recognition Technology

All you mega church congregants (are there any amongst disinfonauts?), don’t think the pastor won’t know if you don’t show up on Sunday: the church is using facial recognition technology to make sure you’re in attendance, reports Fusion:

We know that Facebook has a vast facial recognition database so good that it can recognize you when your face is hidden, that the FBI has built a millions-strong criminal facial recognition system, and that Google’s new Photos app is so effective at face recognition that it can identify now-adults in photos from their childhood. But now facial recognition is starting to pop up in weird and unexpected places: at music festivals (to identify criminals); at stadiums (to weed out “sports troublemakers“) and at churches. Yes, churches.

Screenshot from Churchix.com website.

Screenshot from Churchix.com website.


Moshe Greenshpan, the CEO of Israel- and Las Vegas-based facial recognition software company Face-Six, says there are 30 churches around the world using his Churchix technology.

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This Book Uses Facial Recognition to Judge Whether You Deserve to Read It

Can books afford to be so picky about who reads them? Yahoo investigates:

You might not want to admit it, but deep down every bookstore shopper knows that picking a new book to read is a fairly superficial process. We’re tuned to judge books by their covers, despite the advice of clichés. But what happens when the tables are turned, and the covers are judging us?

This is the question at hand for Thijs Biersteker, a Dutch artist who created a book that uses facial recognition to decide whether you are worthy of reading it. As demonstrated in the video below, the book scans your face for your emotional state; if it senses that you are either too excited or in a sour mode, it will lock itself shut, preventing you from reading in the wrong frame of mind.

It works like this: You first align your face with the book’s built-in screen, which intentionally resembles the face of a robot out of Fritz Lang‘s 1927 dystopian film Metropolis.

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Computers Can Now Read Human Emotions Better Than You Can

emotionsThe logical end point is that we will abandon trying to interpret the moods and expressions on others’ faces, and instead rely on devices to instantaneously perform the task for us. Motherboard on a computer that Ohio State University researchers trained to recognize complex and subtle emotions far more skillfully than humans are able to:

For a while now, facial analysis software has been able to distinguish between the six “basic categories” of emotion—happiness, surprise, anger, sadness, fear, and disgust. If you asked me to do the same, I could probably do it. But when you drill down into complex, compound facial expressions such as “happily surprised,” “fearfully angry,” “appalled,” “hatred,” and “awed,” I’d probably blow a couple of them. This computer doesn’t. In fact, it can decipher between 21 different “complex emotions.”

It’s another step towards machines that can decipher what we feel… in [this] context, it’s easy to imagine a future filled with robotic companions and therapists.

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Cameras And Devices Will Soon Decode, Store, And Track Your Emotions

Emotient is one of many companies that plan to capture, analyze, and sell emotional information:

Emotient is the leading authority on facial expression recognition and analysis technologies that are enabling a future of emotion aware computing.

The company began at the Machine Perception Lab at University of California, San Diego, and has since attracted industry leaders across the realms of business, technology and science.

Emotient’s flagship products are the FACET™ SDK, a high-accuracy, cost effective and adaptive software development kit, and FACET™ Vision, a fully featured desktop application for automated facial expression analysis and video annotation. With a camera-enabled device, our system can quickly process facial detection and automated expression analysis in real-time.

Our leading-edge software detects and tracks primary expressions of emotion and blended composites of multiple emotions. Fortune 500 companies, market research firms, and a growing number of vertical markets are ideally suited to leverage facial expression data.



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Hi Def Cameras Can Now Capture The Reflection Of Your Face In Someone Else’s Eye

“Zoom in. Now enhance.” – Deckard, Bladerunner.

Via BoingBoing:

In Identifiable Images of Bystanders Extracted from Corneal Reflections, British psychology researchers Rob Jenkins and Christie Kerr show that recognizable images of the faces of unpictured bystanders can be captured from modern, high-resolution photography by zooming in on subjects’ eyes to see the reflections in their corneas. The researchers asked experimental subjects to identify faces captured from these zoomed-in images and found that they were able to do so with a high degree of reliability.

Read the rest at BoingBoing.

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New Company Training Software Uses Eye Recognition To Force You To Pay Attention

eyesAs much of our time as we spend watching screens, screens will soon be watching us. Businessweek writes:

Online training technology company Mindflash on Tuesday announced a new feature called FocusAssist for iPad that uses the tablet’s camera to track a user’s eye movements. When it senses that you’ve been looking away for more than a few seconds (because you were sending e-mails, or just fell asleep), it pauses the course, forcing you to pay attention—or at least look like you are—in order to complete it.

Sound kind of creepy, even Big Brother-y? Mindflash doesn’t think so. Donna Wells, the company’s CEO, writes in an e-mail: “Our focus is making sure trainees get all the information they need to do their jobs well.”

The feature was developed by a group of Stanford University Ph.D.s who also founded Sension, a “computer vision technology” company in Palo Alto that wants to use emotion- and facial-recognition technology to treat autism and Alzheimer’s disease.

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NYPD’s New Facial Recognition Unit Using Instagram And Facebook Photos To Identify Suspects

Social networking sites are a great way to meet and connect with new people, such as cops. DNAinfo New York writes:

Police are searching for suspects’ photos on Instagram and Facebook, then running them through the NYPD’s new Facial Recognition Unit to put a face to a name, DNAinfo New York has learned.

Detectives are now breaking cases across the city thanks to the futuristic technology that marries mug shots of known criminals with pictures gleaned from social media, surveillance cameras and anywhere else cops can find images.

[An] official explained how the new technology worked after a recent street robbery where a woman reported her jewelry stolen by her gal pal’s boyfriend. She did not know his name, only that he was likely in photos on his girlfriend’s Facebook page. “We did not have his name, but we found a photo and the Facial Recognition Unit got a hit.”

The new investigative entity was formally launched late last year, with eight cops working in teams of four manning the operations.

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PSYOPS 101: The Technology of Psych Warfare

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“As we have examined in this special series of Eyeopener reports on psychological warfare in recent weeks, Psychological Operations, or PSYOPS, are every bit as vital to military strategists today as they ever were. In fact, in this age of 24/7 online access and the possibilities for new battlegrounds in the “information battlespace” that it affords, Psyops may be even more important than they have ever been in “winning the hearts and minds” (or at least confusing and stupefying the hearts and minds) of enemies the world over.

In some ways, this is precisely the point. Psyops by their very nature tend to rely on mechanical and technological trickery to deceive enemies or sneak propaganda past their defenses. Some of the greatest military victories in history did not involve fighting or bloodshed at all, but merely intimidation through demonstration of technological superiority.”

Read more at CorbettReport.com


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