Many of today's imaging systems such as those used in security and surveillance, retail auto mation, and autonomous vehicles deploy cameras with frame-based image sensors. When paired with convolutional neural networks, these cameras can be deployed to identify and classify objects, including people, animals, vehicles, road signs, and various other obstacles.
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