Computer Vision

Computer vision is a field of computer science that focuses on enabling computers to identify and understand objects and people in images and videos. Like other types of AI, computer vision seeks to perform and automate tasks that replicate human capabilities. In this case, computer vision seeks to replicate both the way humans see, and the way humans make sense of what they see.

The range of practical applications for computer vision technology makes it a central component of many modern innovations and solutions. Computer vision can be run in the cloud or on premises. Computer vision applications use input from sensing devices, artificial intelligence, machine learning, and deep learning to replicate the way the human vision system works. Computer vision applications run on algorithms that are trained on massive amounts of visual data or images in the cloud. They recognize patterns in this visual data and use those patterns to determine the content of other images.A sensing device captures an image. The sensing device is often just a camera, but could be a video camera, medical imaging device, or any other type of device that captures an image for analysis.

The image is then sent to an interpreting device. The interpreting device uses pattern recognition to break the image down, compare the patterns in the image against its library of known patterns, and determine if any of the content in the image is a match. The pattern could be something general, like the appearance of a certain type of object, or it could be based on unique identifiers such as facial features.

A user requests specific information about an image, and the interpreting device provides the information requested based on its analysis of the image. Modern computer vision applications are shifting away from statistical methods for analyzing images and increasingly relying on what is known as deep learning. With deep learning, a computer vision application runs on a type of algorithm called a neural network, which allows it deliver even more accurate analyses of images. In addition, deep learning allows a computer vision program to retain the information from each image it analyzes—so it gets more and more accurate the more it is used.e.

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