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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. DeepFace - Wikipedia

    en.wikipedia.org/wiki/DeepFace

    DeepFace is a deep learning facial recognition system created by a research group at Facebook.It identifies human faces in digital images. The program employs a nine-layer neural network with over 120 million connection weights and was trained on four million images uploaded by Facebook users.

  5. Fawkes (software) - Wikipedia

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

    Facial recognition works by pinpointing unique dimensions of facial features, which are then rendered as a vector graphic image of the face.. Fawkes is a facial image cloaking software created by the SAND (Security, Algorithms, Networking and Data) Laboratory of the University of Chicago. [1]

  6. Google Lens - Wikipedia

    en.wikipedia.org/wiki/Google_Lens

    Google Lens is an image recognition technology developed by Google, designed to bring up relevant information related to objects it identifies using visual analysis based on a neural network. [2] First announced during Google I/O 2017, [ 3 ] it was first provided as a standalone app, later being integrated into Google Camera but was reportedly ...

  7. 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.

  8. Picasa - Wikipedia

    en.wikipedia.org/wiki/Picasa

    Google applied this technology for face recognition, and this functionality was launched on Picasa Web Albums on September 2, 2008. [20] Neven Vision incorporates several patents [21] specifically centered around face recognition from digital photo and video images.

  9. Category:Facial recognition - Wikipedia

    en.wikipedia.org/wiki/Category:Facial_recognition

    Facial recognition software (27 P) Pages in category "Facial recognition" The following 21 pages are in this category, out of 21 total.

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