background preloader Facial Recognition Facial Recognition's API now returns an age estimation for faces it detects in photos - seen here with some recognizable examples. Looking at someone’s face can tell you a lot about who they are. Running a picture through‘s systems let’s you turn those instincts into cold hard data. The Israel-based company has made a name for itself over the past few years by providing some of the best facial recognition technology available on the web. To date, developers all over the world have used their API to find nearly 41 billion faces! Instead of trying to understand what makes someone look a certain age, simply let their program figure it out on its own. does a pretty good estimation for this pic of Brad Pitt. In the end, though, the only really important thing to ask about’s Age Detection, is “does it work.” The near term applications for the update show how useful it might be. What seems certain is that we will see much more of in the future. Related:  Augmented Reality

VentureBeat: How to fool facial recognition technology? The day when you’ll be able to hold up your phone and identify a stranger through a viewfinder is getting closer. Google’s Goggles, a mobile app for visual search, has a facial recognition version unreleased to the public, while Israeli startup’s technology can tag people’s faces in Facebook photos. Facebook even released a basic version of face detection last night, although it doesn’t have recognition. So in a world where technology chips away at our ability to remain anonymous, how does one reclaim some semblance of control? It turns out there’s actually a pretty simple way around the facial recognition technology available in the market today, according to Adam Harvey, a graduate student at NYU’s ITP (the same program that produced Foursquare chief executive Dennis Crowley and that Twitter’s location guru Raffi Krikorian taught at). “It breaks apart the gestalt of the face,” he said. Harvey says there a couple of projects that could stem from idea.

Speech Jamming Gun From Japan Silences People From Up To 34 Meters Away Usually when someone says they’re going to silence you with a gun, you should start worrying about bullet holes. Japan’s SpeechJammer gun, however, can keep you quiet without aerating your shirt. This prototype device uses a directional mic to listen to someone talking up to 34 meters away. The enjoyment of the SpeechJammer creators is almost palpable in this slightly zany demonstration of the device. Some technologies appear so silly, strange, or downright sinister that they almost have to be a hoax. A quick look at the various components of the SpeechJammer. Really, the device is pretty simple. The only really difficult bit of engineering here seems to be in calculating the appropriate delay for the distance between target and gun using an onboard microchip. In fact, the main thrust of Kurihara and Tsukada’s paper seems to be that there’s a lot to be learned with the Speech Jamming Gun.

New Surveillance System Identifies Your Face By Searching Through 36 Million Images Per Second When it comes to surveillance, your face may now be your biggest liability. Privacy advocates, brace yourselves – the search capabilities of the latest surveillance technology is nightmare fuel. Hitachi Kokusai Electric recently demonstrated the development of a surveillance camera system capable of searching through 36 million images per second to match a person’s face taken from a mobile phone or captured by surveillance. While the minimum resolution required for a match is 40 x 40 pixels, the facial recognition software allows a variance in the position of the person’s head, such that someone can be turned away from the camera horizontally or vertically by 30 degrees and it can still make a match. This means that the biggest barrier in video surveillance, which is watching hours of video to find what you want, is gone. The power of the search capabilities is in the algorithms that group similar faces together. The scenarios that this system could be useful for are endless.

Google Glass: Artificial Unconscious? : Neuroskeptic Google Glass is cool. But could it be philosophically dangerous? 60 years ago, Ludwig Wittgenstein famously wrote: Where does this idea come from? It is like a pair of glasses on our nose through which we see whatever we look at. It never occurs to us to take them off. The “idea” in this case was a particular philosophical theory about language. Perhaps all technology so far has been an extension of the conscious parts of our mind. Google Glass and other smart glasses do all that as well, but I wonder if they’ll soon go one better: they could extend or modify our unconscious mental processes. Consider, for example, some smart glasses set up to detect anything that looked like a spider in front of its camera, and overlay it with a red flashing box on the user’s display if spotted. Now, I think this would make you obsessed with spiders. Or again, your glasses could analyze the facial expressions of people you meet, perhaps displaying the results (85% happy, etc…) floating above their heads.

CV Dazzle: Open-Source Camouflage From Computer Vision AI that Mimics the Human Brain --The Next Revolution in Artificial Intelligence The term, Artificial Intelligence was coined in 1956 by John McCarthy at Massachusetts Institute of Technology. This year, computer scientists celebrate the 100th anniversary of the birth of the mathematical genius Alan Turing. Turing set the basis for digital computing in the 1930s to anticipate our current technilogical age. The quest still remains to create a machine as adaptable and intelligent as the human brain. Computer scientist Hava Siegelmann of the University of Massachusetts Amherst, an expert in neural networks, has taken Turing's work to its next logical step by translating her 1993 discovery of "Super-Turing" computation into an adaptable computational system that learns and evolves, using input from the environment in a way much more like our brains do than classic Turing-type computers. "This model is inspired by the brain," she says. "Each time a Super-Turing machine gets input it literally becomes a different machine. To launch the video click on the Start Arrow.

Flying Robotic Swarm of Nano Quadrotors Gets Millions of Views, New Company These acrobatic robots can launch themselves through rings, duck and weave around obstacles, and even fly through your bedroom window. Hell, they can construct your bedroom window. Flying quadrotors first developed at UPenn’s GRASP Lab by Daniel Mellinger have reached the big time. Mellinger has been developing various versions of the quadrotor system at UPenn for several years. On a related note, previous demonstrations from Mellinger also revealed that the larger quadrotors were purchased form Ascending Technologies, not produced in-house at UPenn. Which raises some interesting questions about what the new startup, KMel Robotics, will focus on. My second guess? [image and video credits: KMel Robotics]

10 | 48 Crazy Ideas Coming From The $2 Billion Stealth Startup Magic Leap Last October, Fast Company broke news about a stealth startup named Magic Leap that had raised $542 million in a round of financing led by Google. Names attached ranged from the mobile hardware makers at Qualcomm to the special effects studio Weta. But what the heck were they building? Augmented reality (AR) glasses were our best guess. Now, Magic Leap has begun filing patents, which give us a much better look at their plans. Their latest application is a 180-page opus for user interface, filled with a surplus of imaginative sketches illustrating the platform’s potential. The hardware appears to be a pair of glasses with fiber optic projectors. Hand gestures within your line of sight can pull up menus and issue commands. Here we see the first of many "totems" in the documentation. Totems can be dumb, non-descript objects in the real world, but painted with a digital skin in Magic Leap's augmented world. Totems can also take the form of controllers. You could also place screens anywhere.