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Face Watch can continuously detect on live video streams, recognizing faces on individual video frames and cataloging timestamps. [1] FACE Plus is the company's photo (still image) facial recognition program. It includes advanced filtering and can reconstruct a 3D model from photos to correct their angle, a feature called pose correction. [1]
Fawkes image cloaking can be used on images and apps that are used every day. However, the efficacy of the software wanes if there are cloaked and uncloaked images that the facial recognition software can utilize. The image cloaking software has been tested on high-powered facial recognition software with varied results. [3]
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]
FaceTrackNoIR, is an open-source and free head-tracking software which only requires a webcam and no infrared LEDs. OpenTrack, is an active open-source project combining many features of the products FreeTrack and FaceTrackNoIR. It Input sources and includes facial recognition, IR point tracking, paper marker tracking, and more.
Face detection can be used as part of a software implementation of emotional inference. Emotional inference can be used to help people with autism understand the feelings of people around them. [8] AI-assisted emotion detection in faces has gained significant traction in recent years, employing various models to interpret human emotional states.
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.
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.
Yitu Technology, stylized as YITU, is a Shanghai-based artificial intelligence company that develops facial recognition systems. The company was founded in 2012 by Leo Zhu and Lin Chenxi. [1] Yitu's software, branded as Dragonfly Eye, is used by public security bureaus throughout China to identify individuals and vehicles. [1]
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