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  2. Fawkes (software) - Wikipedia

    en.wikipedia.org/wiki/Fawkes_(software)

    It is a free tool that is available as a standalone executable. [2] The software creates small alterations in images using artificial intelligence to protect the images from being recognized and matched by facial recognition software. [3] The goal of the Fawkes program is to enable individuals to protect their own privacy from large data ...

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  4. Facial recognition system - Wikipedia

    en.wikipedia.org/wiki/Facial_recognition_system

    Facial recognition software at a US airport Automatic ticket gate with face recognition system in Osaka Metro Morinomiya Station. A facial recognition system [1] is a technology potentially capable of matching a human face from a digital image or a video frame against a database of faces.

  5. FindFace - Wikipedia

    en.wikipedia.org/wiki/FindFace

    FindFace employs a facial recognition neural network [6] algorithm developed by N-Tech.Lab [7] [8] to match faces in the photographs uploaded by its users against faces in photographs published on VK, [9] with a reported accuracy of 70 percent. [10] Different sources point to NTech Lab's technology accuracy from 85.081% [11] to 99%. [12]

  6. Discount-Licensing - Wikipedia

    en.wikipedia.org/wiki/Discount-Licensing

    Discount-Licensing was founded as Disclic Ltd in July 2004 by Noel Unwin and Jonathan Horley. [2] In 2006 Disclic Ltd changed its name to Discount-Licensing.com Ltd. [3]When Discount-Licensing launched, it was predicted that it, and other companies like it, would have a significant disruptive effect on Microsoft's pricing and its resellers and some resellers reacted with shock and anger ...

  7. AOL Mail

    mail.aol.com

    Get AOL Mail for FREE! Manage your email like never before with travel, photo & document views. Personalize your inbox with themes & tabs. You've Got Mail!

  8. Face Recognition Vendor Test - Wikipedia

    en.wikipedia.org/wiki/Face_Recognition_Vendor_Test

    FRVT Ongoing now has roughly 200 face recognition algorithms and tests against at least six collections of photographs [5] with multiple photographs of more than 8 million people. The best algorithms for 1:1 verification gives False Non Match Rates of 0.0003 at False Match Rates of 0.0001 on high quality visa images. [6] Additional programs:

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