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This is a surveillance system that uses two cameras working together. A first camera watches a wider area to spot and track an object, figuring out its location. This location information then tells a second, more focused camera where to look, controlling its movement. The second camera then captures detailed images to identify specific features of the tracked object, like a face.
Why it matters: The core image processing and tracking capabilities described were computationally intensive in 2009. Advances in deep learning, affordable high-performance embedded computing, and mature computer vision libraries since then make building and deploying such a system significantly more practical and robust today.
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