Ann: Commercial Hardware Acceleration Board Released, page-755

The drivers licences are the key to the significant competitive edge that BRN has in it's BrainChip Studio and Accelerator suite. No one else can process large data sets of faces at the speed BRN can.
This goes back to trials with Spikenet and the DGSI in France; refer comments by Hung do-duy.

"For their part, the neural networks of the Toulouse-based Spikenet are used, among others, by the Directorate General of Internal Security (DGSI) and the Prefecture of police of Paris. The algorithms succeed a tour de force. "Their learning does not need to be constantly supervised by humans. Our neural networks are rewiring on their own , says Hung Do-Duy, president of Spikenet Technology SAS, who has been working for 11 years with the Ministry of the Interior. Our research on unsupervised neural networks began twenty years ago. "

Recently, Spikenet passed a test in real conditions with video surveillance cameras in Paris. The faces of 150,000 individuals at the rate of 5 to 200 faces per individual (1.5 million images in total) were loaded into the software to find a single person. You might as well look for a needle in a haystack. "In just a few seconds, the face of the person sought came out 8 times out of the first 20 results," said Hung Do-Duy, who for the last three years has carried his algorithms on hardware platforms.
"We started on Raspberry Pi [nano-computers the size of a credit card at less than 50 euros, Editor's note]. We now realize neuromorphic electronic chips on reprogrammable integrated circuits (FPGA). " A strategy spotted by the American Brainchips who bought the Toulouse company last September. What to build networks of neural networks by integrating these chips with servers, network equipment, cameras, robots ..."

1.5 million images processed in a few seconds. Everyone with a drivers license in Australia say 30 seconds.
Not ramping, but we own this space and we are on a winner.

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