Computer vision has transformed the way machines interpret the world. By leveraging convolutional neural networks and modern AI techniques, machines can now recognize faces, analyze medical images, detect objects, and even understand complex scenes.
From autonomous vehicles to augmented reality applications, computer vision plays a critical role in bridging the gap between humans and machines. Continuous research in this field is pushing the boundaries of what is possible in automation and intelligent systems.