Computer vision is the field of artificial intelligence that focuses on the development of algorithms and technologies to enable machines to understand and interpret visual data from the world around them. This includes everything from recognizing and classifying objects in images and videos, to understanding spatial relationships and movements, to making predictions and decisions based on visual information.

One example of computer vision in action is the use of facial recognition technology in security systems. This technology uses algorithms and machine learning to analyze images and videos of faces to identify and match them to a database of known individuals. This can be used to grant or deny access to secure areas, or to alert security personnel to potential threats.

Another example of computer vision is the use of autonomous vehicles. These vehicles use a combination of sensors, cameras, and algorithms to perceive and interpret the environment around them, allowing them to navigate roads and traffic without human input. This includes detecting and recognizing other vehicles, pedestrians, traffic signs and signals, and potential obstacles, as well as predicting and reacting to their movements and behaviors.

Computer vision has a wide range of applications across various industries, from healthcare and retail to transportation and surveillance. It has the potential to revolutionize how machines interact with and make decisions based on the world around them, improving efficiency, accuracy, and safety.