By using a combination of Artificial Intelligence and Computer Vision (where AI trains computers to interpret and understand the visual world using digital images from cameras and videos) machines can accurately identify and classify objects — and then react to what they see with Computer Vision.
Computer Vision is a subset of AI that enables computers to see and make sense of the world. It is the AI application that allows a computer to learn to analyse information from photos or video to thermal and infrared data, amongst other sources, and then make decisions or come to a clear understanding of the environment or situation based on that information.
Such a system has to be capable of processing and interpreting visual information so that it can be used for patterns and object recognition, and for adapting 2D images from our 3D world into 3D information. Yet in just under a decade, the accuracy of object identification rates has increased from 50% TO 99%. This makes computer vision more accurate than humans at reacting rapidly to visual data.