![]() ![]() In a facial recognition system - which maps an individual's facial features mathematically and stores the data as a faceprint - face detection data is required for the algorithms that discern which parts of an image or video are needed to generate a faceprint. In face analysis, face detection helps identify which parts of an image or video should be focused on to determine age, gender and emotions using facial expressions. Face detection has a significant effect on how sequential operations will perform in the application. It now plays an important role as the first step in many key applications - including face tracking, face analysis and facial recognition. Face detection technology can be applied to various fields - including security, biometrics, law enforcement, entertainment and personal safety - to provide surveillance and tracking of people in real time.įace detection has progressed from rudimentary computer vision techniques to advances in machine learning ( ML) to increasingly sophisticated artificial neural networks ( ANN) and related technologies the result has been continuous performance improvements. Face detection - also called facial detection - is an artificial intelligence (AI) based computer technology used to find and identify human faces in digital images.
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