Computer Vision

TL;DR

Enables machines to recognize and classify objects and to understand spatial relationships and motion from images and video.
Supports making predictions and decisions based on visual information.
Applied across many industries to improve efficiency, accuracy, and safety.

Definition

Computer vision is the field of artificial intelligence that focuses on the development of algorithms and technologies to enable machines to understand and interpret visual data from the world around them.

Explanation

Computer vision covers a range of tasks such as recognizing and classifying objects in images and videos, understanding spatial relationships and movements, and making predictions and decisions based on visual input. It combines algorithms and technologies to process and interpret visual data so machines can act on that information.

Examples

Facial recognition in security systems

Facial recognition technology uses algorithms and machine learning to analyze images and videos of faces to identify and match them to a database of known individuals. This can be used to grant or deny access to secure areas, or to alert security personnel to potential threats.

Autonomous vehicles

Autonomous vehicles use a combination of sensors, cameras, and algorithms to perceive and interpret the environment around them, allowing them to navigate roads and traffic without human input. This includes detecting and recognizing other vehicles, pedestrians, traffic signs and signals, and potential obstacles, as well as predicting and reacting to their movements and behaviors.

Use cases

Computer vision has a wide range of applications across various industries, from healthcare and retail to transportation and surveillance. It has the potential to revolutionize how machines interact with and make decisions based on the world around them, improving efficiency, accuracy, and safety.

Artificial intelligence
Machine learning
Facial recognition
Autonomous vehicles
Sensors
Cameras
Algorithms