from the casting-wider-nets-through-technology dept.
mrspoonsi sends this BBC report:
"A U.S. juggler facing child sex abuse charges, who jumped bail 14 years ago, has been arrested in Nepal after the use of facial-recognition technology. Street performer Neil Stammer traveled to Nepal eight years ago using a fake passport under the name Kevin Hodges. New facial-recognition software matched his passport picture with a wanted poster the FBI released in January. Mr Stammer, who had owned a magic shop in New Mexico, has now been returned to the U.S. state to face trial. The Diplomatic Security Service, which protects U.S. embassies and checks the validity of U.S. visas and passports, had been using FBI wanted posters to test the facial-recognition software, designed to uncover passport fraud. The FBI has been developing its own facial-recognition database as part of the bureau's Next Generation Identification program."
from the your-papoosilometer-is-nearly-out-of-battery dept.
theodp writes "Over at Fast Company, Rebecca Greenfield explores the rise of extreme baby monitoring. 'In the imminent future,' writes Greenfield, 'any curious parent with an iPhone will have access to helpful analytics, thanks to the rise of wearable gadgets for babies. Following the success of self-trackers for grown-ups, like Jawbone and Fitbit, companies like Sproutling, Owlet, and Mimo want to quantify your infants.' Devices connect to a baby via boot, anklet, or onesie, and record heart rate, breathing patterns, temperature, body position, and the ambient conditions of the room. While the breathing and sleeping alerts will calm a lot of parents, Greenfield reports the real holy grail is the data garnered from tracking, which some companies plan to share with researchers.
'We're creating the largest data set of infant health data,' says Owlet co-founder Jordan Monroe."
from the turn-that-frown-upside-down dept.
moon_unit2 writes "Tech Review has a story on research showing that facial recognition software can accurately spot signs that programming students are struggling. NC State researchers tracked students learning java and used an open source facial-expression recognition engine to identify emotions such as frustration or confusion. The technique could be especially useful for Massive Open Online Courses — where many thousands of students are working remotely — but it could also help teachers identify students who need help in an ordinary classroom, experts say. That is, as long as those students don't object to being watched constantly by a camera."