Computer vision involves the use of algorithms and techniques that allow machines to process, analyze, and make sense of visual data from the world. It combines aspects of artificial intelligence, machine learning, and image processing. Applications range from automated surveillance, industrial automation, and medical image analysis to self-driving cars and augmented reality. Computer vision systems typically extract features from images or video feeds and utilize these features for tasks such as object detection, image recognition, and scene understanding.