Computer vision is an interdisciplinary field that deals with extracting information from images and videos. It involves the development of theories, models, algorithms, and applications that enable computers to interpret images and videos in the same way as human vision. At its most basic level, computer vision involves the use of algorithms to extract features from images and videos, including lines, shapes, color, texture, and objects. These features are then used to recognize objects in digital images or to track motion in videos. More advanced computer vision algorithms allow computers to understand scenes and infer relationships between objects. Applications of computer vision include medical imaging, robotics, autonomous vehicles, security surveillance, facial recognition, and digital entertainment.