Monday, November 27, 2017

Face Recognition with 97% Accuracy at 10% of Apple Face ID Power

ESMChina presents Ginwatec Deep Neural Processor that implements face recognition with 97% accuracy at about 10-80x lower power than Apple Face ID. I wonder whether they find a good application for that:


Ark-Invest publishes a grossly incomplete list of Neural Processing chip companies:


Meanwhile, Alipay introduced face recognition-based "Smile to Pay" service in China:

10 comments:

  1. Don't understand why China wants to automate away the service jobs. It has a double digit unemployment rate, not to counting many underemployed. The pursuit of cutting edge technologies for the bragging rights doesn't serve the needs.

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    Replies
    1. I think you may forget there is a dot between the double digits.
      https://ig.ft.com/sites/numbers/economies/china

      Delete
  2. Population shrink due to one-child policy

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  3. So she paid by entering some numbers after smiling, WOW, so NOT impressed, would have been faster to swipe an Apple Watch. :D 2D face authentication is not secure. Those presentations can play with numbers all they want, not even clear if they're referring to 2D+3D face authentication, without a working product... it's fluff.

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  4. From 97% to 99.9999% claimed by Apple FaceID, there is a huge distance !!

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  5. 97% success rate means 1 in 33 failure rate. I.e. of 100,000 people, 3000 can pass as you and hack your account. That is the exact opposite of "secure".

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  6. The false positive so far is with identification, ie one to one verification. The rate will go even higher once the recognition mode is enabled.

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  7. Instead of "Smile to pay" I want "Frown to earn".

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  8. Interesting, getting really close to minority report people tracking

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