Steve Lohr describes a truly alarming development in facial recognition technology, showing how it is already in use to control prison populations, and in all probability before long, the general public. In the video below Dr. Rosalind Picard demonstrates two technologies invented at MIT that the company leading the research, Affectiva, is developing into products. Check it out and read the whole New York Times story, it’s information you should be fully aware of:
Hundreds of correctional officers from prisons across America descended last spring on a shuttered penitentiary in West Virginia for annual training exercises.
Some officers played the role of prisoners, acting like gang members and stirring up trouble, including a mock riot. The latest in prison gear got a workout — body armor, shields, riot helmets, smoke bombs, gas masks. And, at this year’s drill, computers that could see the action.
Perched above the prison yard, five cameras tracked the play-acting prisoners, and artificial-intelligence software analyzed the images to recognize faces, gestures and patterns of group behavior. When two groups of inmates moved toward each other, the experimental computer system sent an alert — a text message — to a corrections officer that warned of a potential incident and gave the location.
The computers cannot do anything more than officers who constantly watch surveillance monitors under ideal conditions. But in practice, officers are often distracted. When shifts change, an observation that is worth passing along may be forgotten. But machines do not blink or forget. They are tireless assistants.
The enthusiasm for such systems extends well beyond the nation’s prisons. High-resolution, low-cost cameras are proliferating, found in products like smartphones and laptop computers. The cost of storing images is dropping, and new software algorithms for mining, matching and scrutinizing the flood of visual data are progressing swiftly.
A computer-vision system can watch a hospital room and remind doctors and nurses to wash their hands, or warn of restless patients who are in danger of falling out of bed. It can, through a computer-equipped mirror, read a man’s face to detect his heart rate and other vital signs. It can analyze a woman’s expressions as she watches a movie trailer or shops online, and help marketers tailor their offerings accordingly. Computer vision can also be used at shopping malls, schoolyards, subway platforms, office complexes and stadiums.
All of which could be helpful — or alarming…
Be sure to read the rest in the New York Times.
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