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  2. Dallas police to use AI facial recognition technology to help ...

    www.aol.com/news/dallas-police-ai-facial...

    May 14, 2024 at 8:13 AM. DALLAS - The Dallas Police Department will soon be using artificial intelligence for facial recognition technology to identify criminal suspects through millions of...

  3. Anti-facial recognition mask - Wikipedia

    en.wikipedia.org/wiki/Anti-facial_recognition_mask

    An anti-facial recognition mask is a mask which can be worn to confuse facial recognition software. This type of mask is designed to thwart the surveillance of people by confusing the biometric data. There are many different types of masks which are used to trick facial recognition technology.

  4. Facial recognition system - Wikipedia

    en.wikipedia.org/wiki/Facial_recognition_system

    A facial recognition system is a technology potentially capable of matching a human face from a digital image or a video frame against a database of faces. Such a system is typically employed to authenticate users through ID verification services , and works by pinpointing and measuring facial features from a given image.

  5. Facial recognition, biometrics largely accepted in tech, but ...

    www.aol.com/facial-recognition-biometrics...

    Biometric technology hit the shelves in late 2011 with the release of Android's then-latest operating system, which let users unlock their screens using facial recognition.

  6. Prism correction - Wikipedia

    en.wikipedia.org/wiki/Prism_correction

    Prism dioptres. Prism correction is commonly specified in prism dioptres, a unit of angular measurement that is loosely related to the dioptre. Prism dioptres are represented by the Greek symbol delta (Δ) in superscript. A prism of power 1 Δ would produce 1 unit of displacement for an object held 100 units from the prism. [2]

  7. Face Recognition Vendor Test - Wikipedia

    en.wikipedia.org/wiki/Face_Recognition_Vendor_Test

    The Face Recognition Vendor Test (FRVT) was a series of large scale independent evaluations for face recognition systems realized by the National Institute of Standards and Technology in 2000, 2002, 2006, 2010, 2013 and 2017.