Computer Vision

Computer vision is an AI field that allows computers to interpret and understand visual information from the world, such as images and videos. In this chapter, we’ll explore how computer vision is applied to tasks like image classification, object detection, and face recognition.

You’ll learn about key techniques used in image processing, such as edge detection and image segmentation, which help identify boundaries and distinct objects in an image. We’ll dive into how convolutional neural networks (CNNs) play a crucial role in processing visual data, allowing machines to understand complex scenes.

Applications of computer vision are vast, ranging from autonomous vehicles that need to detect pedestrians and obstacles, to medical imaging where AI helps doctors diagnose diseases from X-rays and MRIs. We’ll explore these applications and look at real-world examples to show how computer vision is improving industries like healthcare, security, and entertainment.

By the end of this chapter, you’ll have a solid understanding of how AI enables computers to “see” and interpret visual data, and how this is transforming the way we interact with the world.