New Big Brother Facial Recognition System Scans 36 Million Faces Per Second
March 25, 2012 by admin
Filed under News Stories
March 26, 2012
End the Lie
By Madison Ruppert
“For some reason, big brother wants to continue spying on its citizens. Why are they afraid of us?” –KTRN
A new system has emerged to process surveillance footage for facial recognition, and it makes much of the previous technology seem like it belongs in the Stone Age, further empowering the Big Brother surveillance state.
This is just another front in the rapidly growing surveillance industry which preys upon the fear and paranoia of the American people which has been instilled by the government through the Department of Homeland Security and their allied entities.
Perhaps the only system that can compete with this blazing fast technology is the facial recognition systems being developed for military drones, which incorporate three-dimensional models of the target’s face.
This method allows for even less of the target’s face to be visible while still being able to positively identify them.
The novel system developed by Hitachi Kokusai Electric of Japan is able to process video footage faster and more flexibly any previous technology could allow, thus enabling an even faster response to positive identification.
The system was displayed at the Security Show Expo in Japan and it is capable of processing a wide range of information including both still images and video footage.
It is capable of recognizing faces in real-time, or at least as close to real-time as possible, as it is able to compare a target’s face to a stunning 36 million different faces every second.
That’s right, in less than ten seconds it could compare your face to every single person in the United States.
Faces matched by the system can then be displayed as thumbnails, allowing the individual(s) analyzing the footage to tell exactly what the person was doing over time.
The raw speed of this new system is achieved through processing images for facial recognition as it is being recorded from the camera, whereas older systems would process the images after the fact.
Obviously this was seen as a problem because it caused significant delays, although I must question how accurate this new technology is, especially since facial recognition software is notoriously unreliable.
