Vision systems are technologies that enable machines to interpret and understand visual information from the world around them. These systems often use cameras and sensors to capture images, which are then processed using algorithms to identify objects, track movements, and analyze scenes. They are commonly used in various applications, including robotics, automated manufacturing, and surveillance. In addition to cameras, vision systems may incorporate machine learning techniques to improve their accuracy and efficiency over time. By training on large datasets, these systems can learn to recognize patterns and make decisions based on visual input. This capability is essential for tasks such as facial recognition and autonomous driving.