FROM POPULAR SCIENCE/ NEW YORK TIMES
Smart Computer-Vision Systems To Spot Prison Riots Before They Happen
Add corrections officers to the list of workers at risk of being replaced by machines. Recently demonstrated computer-vision systems can analyze imagery provided by cameras perched in prison yards, recognizing faces, gestures, and unfolding incidents and warning guards if, say, two groups of inmates appear hostile. It’s one of a smattering of experimental computer-vision systems highlighted in a New York Times piece examining how smart, observant computers may soon document our every move.
Computer-vision isn’t new – researchers have been developing the technology as long as they’ve been chasing artificial intelligence. But recent strides could soon introduce machine observers into many corners of society, from institutions like hospitals and schools to the workplace and public streets. Computer vision systems can now read a person’s face to determine his or her heart rate, register a person’s emotional response to a product, or recognize behavioral patterns.
Technology, Clay Dillow, artificial intelligence, computer vision, darpa, gorgon stare, machine vision, robotsAs such, many see computer-vision as the future of robotics. DARPA is certainly wise to its security and counterterrorism potential, having launched a program called Mind’s Eye to develop machines that can analyze visual data and communicate it to other computers or humans, even making decisions based on what they see. And perhaps there’s no better example of its proliferation than Microsoft’s Kinect addition for Xbox 360, which introduces a machine vision peripheral into the living room (the company is reportedly flirting with the idea of using the Kinect to target marketing to viewers and measure their responses to it).
The implications of that kind of tech are vast; whereas human observers can be distracted, lazy, or overwhelmed, robot observers are always vigilant and able to draw on huge databases of information. Mashed up with a citywide surveillance system like those common in the UK, facial recognition software could locate and track a lost child or a suspected evildoer while at the same time monitoring traffic patterns and issuing weather advisories.
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Smart Computer-Vision Systems To Spot Prison Riots Before They Happen
Add corrections officers to the list of workers at risk of being replaced by machines. Recently demonstrated computer-vision systems can analyze imagery provided by cameras perched in prison yards, recognizing faces, gestures, and unfolding incidents and warning guards if, say, two groups of inmates appear hostile. It’s one of a smattering of experimental computer-vision systems highlighted in a New York Times piece examining how smart, observant computers may soon document our every move.
Computer-vision isn’t new – researchers have been developing the technology as long as they’ve been chasing artificial intelligence. But recent strides could soon introduce machine observers into many corners of society, from institutions like hospitals and schools to the workplace and public streets. Computer vision systems can now read a person’s face to determine his or her heart rate, register a person’s emotional response to a product, or recognize behavioral patterns.
Technology, Clay Dillow, artificial intelligence, computer vision, darpa, gorgon stare, machine vision, robotsAs such, many see computer-vision as the future of robotics. DARPA is certainly wise to its security and counterterrorism potential, having launched a program called Mind’s Eye to develop machines that can analyze visual data and communicate it to other computers or humans, even making decisions based on what they see. And perhaps there’s no better example of its proliferation than Microsoft’s Kinect addition for Xbox 360, which introduces a machine vision peripheral into the living room (the company is reportedly flirting with the idea of using the Kinect to target marketing to viewers and measure their responses to it).
The implications of that kind of tech are vast; whereas human observers can be distracted, lazy, or overwhelmed, robot observers are always vigilant and able to draw on huge databases of information. Mashed up with a citywide surveillance system like those common in the UK, facial recognition software could locate and track a lost child or a suspected evildoer while at the same time monitoring traffic patterns and issuing weather advisories.
READ MORE
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