Computer Vision
Computer vision is a field of artificial intelligence (AI) that allows computers and systems to extract meaningful information from digital images, videos, and other visual inputs - and take action or make recommendations based on that information. Computer vision is used in a wide variety of industries, from energy and utilities to manufacturing and automotive, and the market continues to grow.
Computer Vision Examples
Image and video recognition
Image recognition is a subcategory of computer vision and artificial intelligence, a collection of techniques for image detection and analysis that can automate a specific task. It is a technology that is able to identify places, people, objects and many other types of elements in an image and draw conclusions from them by analyzing them.
Text recognition, OCR and NLP
Optical Character Recognition (OCR) technology is widely used in business for automating the extraction of data from printed or written text from a scanned document or image file, and then converting the text into a machine-readable form that will be used for data processing such as editing or searching. Then, Natural Language Processing (NLP) techniques can be used to process and analyze large amounts of natural textual data.
Facial recognition
Facial recognition is a technology capable of identifying or verifying an object from an image, video, or any audiovisual element of its face. Typically this identification is used to access an application, system, or service. It is a biometric identification method that uses these measurements of the body, in this case the face and head, to verify a person's identity using their biometric pattern and facial data.