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  2. Facial recognition system - Wikipedia

    en.wikipedia.org/wiki/Facial_recognition_system

    A false positive happens when facial recognition technology misidentifies a person to be someone they are not, that is, it yields an incorrect positive result. They often results in discrimination and strengthening of existing biases. For example, in 2018, Delhi Police reported that its FRT system had an accuracy rate of 2%, which sank to 1% in ...

  3. Amazon Rekognition - Wikipedia

    en.wikipedia.org/wiki/Amazon_Rekognition

    Celebrity recognition in images [3] [4]; Facial attribute detection in images, including gender, age range, emotions (e.g. happy, calm, disgusted), whether the face has a beard or mustache, whether the face has eyeglasses or sunglasses, whether the eyes are open, whether the mouth is open, whether the person is smiling, and the location of several markers such as the pupils and jaw line.

  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. 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]

  6. Miami Police Used Clearview AI Facial Recognition in Arrest ...

    www.aol.com/news/miami-police-used-clearview-ai...

    Facial recognition technology is increasingly being deployed by police officers across the country, but the scope of its use has been hard to pin down. Miami Police Used Clearview AI Facial ...

  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. Facial recognition systems are flawed and biased. Police ...

    www.aol.com/finance/facial-recognition-systems...

    One of the most comprehensive—a 2019 NIST study that evaluated 189 facial recognition algorithms from 99 developers—found that Black and Asian people were up to 100 times more likely to be ...

  9. Meta is reviving facial recognition for Facebook and ... - AOL

    www.aol.com/finance/meta-reviving-facial...

    The company, which three years ago shut down its “face recognition” system, says it will integrate facial recognition tools into those two products to fight spam and help restore access to ...