Computer vision, a type of artificial intelligence, enables computers to interpret and analyze the visual world, simulating the way humans see and understand their environment. It applies machine learning models to identify and classify objects in digital images and videos, then lets computers react to what they see. Different types of computer vision include image segmentation, object detection, facial recognition, edge detection, pattern detection, image classification, and feature matching.
Computer vision enables a wide range of technological innovation. It allows self-driving cars to safely steer through streets and highways; it enables facial recognition tools to match images of people’s faces to their identities; and it enables augmented-reality applications to mix virtual objects with real-world images.
Computer vision applications are used across industries to improve the consumer experience, reduce costs, and tighten security. Manufacturers use it to spot defective products on the assembly line and prevent them from shipping to customers. Insurance adjusters use it to assess vehicle damage and reduce fraud in the claims process. Medical professionals use it to scan X-rays, MRIs, and ultrasounds to detect health problems. Banks use it to verify customers’ identities before conducting large transactions.