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# Recognize Faces

For each detected face in an image, face recognition attempts to find its closest match from one or more pre-trained databases. Image Server then returns a configurable number of the most closely matching faces from the databases, along with a confidence rating for each match. The results are ordered by confidence rating. Image Server's face detection module detects the faces in the image.

Before face recognition can occur, you must populate the face recognition databases with training images for the faces that you want to recognize. For each individual that you want to recognize, you must provide one or more good quality images of their face, along with names for the person and the individual image, and also the name of the database to create the face model in. You can create any number of face databases, each of which can contain any number of face models. You can use the Models page in the Control section of IDOL Admin to create your face recognition models.

Face recognition has a wide variety of uses, including:

- Law enforcement – automatic identification of known suspects

- Border protection / immigration control – automated entry gates at airports

- Security / access control – CCTV-based access control, allowing specific people into specific zones

- Personalization – PCs, home entertainment systems, and so on, can provide personalized content based on user

The accuracy of face recognition depends largely on the images that it processes. See Factors Affecting Face Recognition Performance. You can also configure face recognition for best performance.

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