New Infrared Facial Recognition
OmniPerception, a U.K. tech company, has developed a new infrared camera that features facial recognition system able to quickly pick a single person out of a crowd, even while they’re on the go. An article in Homeland Security Newswire, a blog covering all aspects of homeland security, recently published an article featuring this small company which comes out of Surrey, England. Typically, facial recognition systems get tripped up by poor lighting, movement, or position within the camera lens, but the new camera system, called CheckPoint.S is able to spot faces on the periphery, as they’re moving, and can do it in a matter of seconds.
Using algorithms that scan data and match recognized features to a system database, CheckPoint.S emits infrared light, reflecting a wave that scans a subject’s features. The CheckPoint.S system apparently does not require any sort of manual monitoring and, thus, developers say that it was not built to replace CCTV cameras, which are prevalent in the United Kingdom. CCTV cameras typically look down from a higher vantage point; CheckPoint.S is made to film people from a lower spot.
As the U.K. government revs up to introduce legislation to regulate CCTV, there is room for new designs and methods in the security threat industry. The effect of lighting, according to Steward Hefferman, CEO of OmniPerception, has plagued facial recognition for years. Hefferman says his systems work far along the scale of infrared light and without natural light. CheckPoint.S actually provides its own light, and so makes lighting conditions a moot point when it comes down to it.
At this point, Hefferman says the technology is made solely to alert security teams and police to the presence of a suspicious someone, and not necessarily as a way of proving that someone was in a certain place at a certain time. Still, we imagine it could be used for that without much effort.
While it may be impossible at this point to recognize someone with 100% confidence, you can always give the final decision to human interpretation, says Hefferman. The applications and markets, he says, are chosen on that basis.
“We would give the police the confidence to pursue a line of enquiry rather than the evidence to say ‘John Smith was there’,” he says. “I don’t believe it would be used purely as an evidential tool.”
Read the original post here:
http://homelandsecuritynewswire.com/identifying-faces-crowd-real-time
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