Artificial vision refers to the technology that enables machines to interpret and understand visual information from the world, similar to how humans see. This field combines elements of computer science, engineering, and neuroscience to create systems that can analyze images and videos. Applications include self-driving cars, facial recognition, and robotic vision. The core of artificial vision often involves machine learning algorithms that train on large datasets to recognize patterns and objects. By processing visual data, these systems can make decisions, navigate environments, and assist in various tasks, enhancing automation and improving efficiency in numerous industries.