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  2. FaceNet - Wikipedia

    en.wikipedia.org/wiki/FaceNet

    FaceNet is a facial recognition system developed by Florian Schroff, Dmitry Kalenichenko and James Philbina, a group of researchers affiliated with Google.The system was first presented at the 2015 IEEE Conference on Computer Vision and Pattern Recognition. [1]

  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 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.

  5. Computer vision - Wikipedia

    en.wikipedia.org/wiki/Computer_vision

    Blippar, Google Goggles, and LikeThat provide stand-alone programs that illustrate this functionality. Identification – an individual instance of an object is recognized. Examples include identification of a specific person's face or fingerprint, identification of handwritten digits, or the identification of a specific vehicle.

  6. Is it safe to use facial recognition and fingerprint scanning?

    www.aol.com/lifestyle/safe-facial-recognition...

    Both facial recognition and fingerprint ID make it harder for other people to access your phone. "I am a big fan of additional identity authentication by smartphone users and Touch ID and Face ID ...

  7. Clearview AI - Wikipedia

    en.wikipedia.org/wiki/Clearview_AI

    Clearview AI, Inc. is an American facial recognition company, providing software primarily to law enforcement and other government agencies. [2] The company's algorithm matches faces to a database of more than 20 billion images collected from the Internet, including social media applications. [1]

  8. 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 ...

  9. DeepFace - Wikipedia

    en.wikipedia.org/wiki/DeepFace

    The input is an RGB image of the face, scaled to resolution , and the output is a real vector of dimension 4096, being the feature vector of the face image. In the 2014 paper, [ 13 ] an additional fully connected layer is added at the end to classify the face image into one of 4030 possible persons that the network had seen during training time.