Surveillance system searches million of faces per second, looking for a match
Japan’s Hitachi Kokusai Electric has developed a surveillance system that can automatically detect a face in either a provided photo or video footage, then search for that same face in other video provided by networked cameras. While such facial recognition systems have been seen before, this one is able to compare the target face against others at an astounding rate of 36 million faces per second.
The Hitachi system assumes that all facial images it detects are at least 40 by 40 pixels in size, and that they are angled within 30 degrees of the camera, both vertically and horizontally.
It delivers search results immediately, in the form of a series of thumbnail images. When users click on any of those images, they are able to view recorded footage of what the person was doing, right before and after the displayed frame was shot.
Needless to say, it’s a lot more than might be required by some users – it’s intended mainly for large-scale applications such as railway stations, department stores and law enforcement agencies. The company plans to have it ready for clients by the next fiscal year.
More information is available in DigInfo’s report, below.
Source: DigInfo via Popular Science
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I know the planet is over populated but there is nowhere that there would be traffic levels that high even if you had only one system monitoring an entire city that would only be a moderate load for this system.
I gather that once the system has I identified an individual they stay in the system for ever and their movements from camera to camera logged for future reference.
The amount of data that a system like that would create in a day would be staggering.
The people running it would need a doctorate in data storage to keep up.
The surveilance society to the max.
This is, however, a great step forward for homeland security, being able to scan a passenger portal for those on a "no fly" list for example. The database and engine use an algorythm based on distance and proportion of various facial features for comparison. When a match or close result is found, it registers a "hit" and calls up the JPEG or other image file the algorythm was based on for human verification. That's how biometrics are stored and used in security systems. Otherwise the amount of storage and computing would be astronomical.