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In short, the problem tackled by computer vision research is translating the flat 2D data a computer 'sees' into a 3D real-world reality that it can recognise and understand.

Computer vision is transforming AI by enabling machines to "see" and interpret visual data, driving advancements in medical imaging, autonomous vehicles, and traffic monitoring.

Vision is a powerful human sensory input. It enables complex tasks and processes we take for granted. With an increase in AoT™ (Autonomy of Things) in diverse applications the role of cameras ...