License-photo matching “straightforward” as face-recognition targets live crowds and financial transactions
…..Improvements in face-recognition algorithms had steadily improved the ability of automated systems to identify individuals in video footage of increasingly low resolution – allowing for identification from greater distances from a surveillance camera, for example. Yet the algorithms had also become far more computationally efficient, NEC Australia general manager of smart systems Paul Howie told CSO Australia, allowing for near instantaneous recognition on powerful computers and enabling the technology to be scaled downwards to become an everyday form of 2-factor authentication (2FA) on all manner of mobile and low-powered fixed devices.
“Five years ago we were talking about a person walking to a point and standing there for a few seconds to get verified” as with the Department of Immigration and Border Protection’s Arrivals SmartGate and Departures SmartGate systems installed by French company Morpho years ago, Howie explained. “Now you can just walk past or towards a camera, and it can pick you up.”
Issues of resolution and time to scan are irrelevant when matching fixed photographs like the driver’s licenses that state premiers agreed to hand over to the federal government for anti-terrorism purposes – 20m images is a “relatively straightforward implementation for us”, as Howie puts it – but they will play an increasingly important role by eventually allowing the more rapid identification of individuals within real-time video of a scene.
Resource: CSO Australia 11th October. Click HERE for more information.