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  2. PimEyes - Wikipedia

    en.wikipedia.org/wiki/PimEyes

    PimEyes was launched in 2017 by a Polish start-up owned by its creators, Polish software engineers Lucasz (also Lukasz) Kowalczyk and Denis Tatina. [2] [3] In 2017, Giorgi Gobronidze, a Georgian law academic, met the website's creators at a university in Poland. He said he used the website for academic research. [3]

  3. 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.

  4. 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:

  5. Harvard students used Meta Ray-Bans to do facial recognition ...

    www.aol.com/harvard-students-made-meta-ray...

    Upon finding a face match, the software would track down other personal information like addresses and jobs. In a demo video, the students showed examples of finding a stranger on the subway and ...

  6. List of free and open-source software packages - Wikipedia

    en.wikipedia.org/wiki/List_of_free_and_open...

    This is a list of free and open-source software packages, computer software licensed under free software licenses and open-source licenses.Software that fits the Free Software Definition may be more appropriately called free software; the GNU project in particular objects to their works being referred to as open-source. [1]

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  9. Face detection - Wikipedia

    en.wikipedia.org/wiki/Face_detection

    Face detection is gaining the interest of marketers. A webcam can be integrated into a television and detect any face that walks by. The system then calculates the race, gender, and age range of the face. Once the information is collected, a series of advertisements can be played that is specific toward the detected race/gender/age.