Computer vision recognition

Computer vision is a set of processes that aim to create an approximate model of the real world (3D) starting from two-dimensional (2D) images. The main purpose of machine vision is to reproduce human vision. Seeing is understood not only as the acquisition of a two-dimensional photograph of an area, but above all as the interpretation of the content of that area. Information, in this case, is understood as something that implies an automatic decision.

Machine learning has become a standard in solving various activities related to computer vision, such as feature detection, image segmentation, object recognition, and tracking. In modern control systems, robots are equipped with visual sensors that they can use ...

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