Computer facial recognition software

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  • 08.08.2019
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In China, facial recognition technology — biometric computer applications that automatically identify an individual from a database of digital images — is a part of daily life. Already about million surveillance cameras are scattered around the country — to track big spenders in luxury retail stores, catch identity thieves, prevent violent crime, find fugitives, catch sleeping students in the classroom and even snag jaywalkers. In fact, nearly every one of its 1. AI companies believe surveillance and face recognition technology will make the country safer, and in the U.
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Facial recognition system

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How Facial Recognition Systems Work | HowStuffWorks

It was an example of just how far AI models had come and, having studied just a few thousand YouTube thumbnails, how quickly these models could now acquire new skills — but it also built upon decades of prior development of facial recognition technology. The quest to correctly identify human faces, both their existence in a frame and the specific individual to which they belong, was already well underway. Comparing aspects of a face in this way is conceptually similar to comparing lines in a fingerprint, although far, far more complicated. If the program finds a critical threshold of similarity between the sample and example patterns, a match is declared — simple as that. That worked well enough for relatively simple jobs, like figuring out where faces were within a photo, but to actually identify that face as matching another photograph of the same person? That has turned out to be far more difficult.
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Facial recognition Software

Anyone who has seen the TV show "Las Vegas" has seen facial recognition software in action. In any given episode, the security department at the fictional Montecito Hotel and Casino uses its video surveillance system to pull an image of a card counter, thief or blacklisted individual. It then runs that image through the database to find a match and identify the person.
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In a mathematician and computer scientist named Woody Bledsoe was assigned by a US intelligence agency to find a way for a computer to utilize facial recognition. The problem was, given a large database of images a book of mug shots and a photograph another mug-shot , it was challenging to determine a match. Fifty years later, facial recognition still refers to a computer system that matches two images of faces. CyberExtruder approaches the problem of matching faces from a vastly different perspective —3 dimensions 3D.
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