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The Viola–Jones algorithm for face detection uses Haar-like features to locate faces in an image. Here a Haar feature that looks similar to the bridge of the nose is applied onto the face. Until the 1990s, facial recognition systems were developed primarily by using photographic portraits of human faces.
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.
Seeing AI is an artificial intelligence application developed by Microsoft for iOS. [ 2 ] [ 3 ] Seeing AI uses the device camera to identify people and objects, and then the app audibly describes those objects for people with visual impairment.
Objects detected with OpenCV's Deep Neural Network module (dnn) by using a YOLOv3 model trained on COCO dataset capable to detect objects of 80 common classes. Object detection is a computer technology related to computer vision and image processing that deals with detecting instances of semantic objects of a certain class (such as humans, buildings, or cars) in digital images and videos. [1]
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Artificial intelligence detection software aims to determine whether some content (text, image, video or audio) was generated using artificial intelligence (AI).. However, the reliability of such software is a topic of debate, [1] and there are concerns about the potential misapplication of AI detection software by educators.
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Three-dimensional face recognition (3D face recognition) is a modality of facial recognition methods in which the three-dimensional geometry of the human face is used. It has been shown that 3D face recognition methods can achieve significantly higher accuracy than their 2D counterparts, rivaling fingerprint recognition .
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