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Softeq's R&D team was among the very few developers who started investigating the capabilities of Google Glass before it was released for sale. One of the apps we built is a camera application that uses a predefined database of faces to learn Neural Networks (Fisher face recognition algorithms from the OpenCV Library).

The application launches the camera preview and uses OpenCV for each preview frame. When a new face is found (the number of detected faces changes) each face is sent for processing. The Fisher algorithm requires square grayscale pictures for input. If the face is recognized, the information is published on the screen.

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