Augmented reality (AR)

Concept and definition

Augmented reality (AR)

What is Augmented reality (AR)?

Augmented reality (AR) is a technology that combines elements of the real and virtual world to create an enriched visual experience. In AR, digital information, such as images, videos or 3D graphics, is superimposed on the real-world view through a screen, camera or projector. This technology uses computer vision algorithms and tracking techniques to detect and track objects in the real world and overlay virtual elements so that they appear to be present in the real world.

AR is used in a wide variety of applications, from gaming and entertainment to manufacturing and education. In business, AR is used to improve efficiency and accuracy in machine maintenance and repair, product design and employee training. In medicine, AR is used to guide surgeons during surgical procedures and to improve accuracy in the identification of anatomical structures during medical examinations.

AR differs from virtual reality (VR) in that VR creates a completely virtual experience in which the user is immersed, while AR combines virtual and real elements to create an enriched real-world experience.

« Back to glossary

Do you want to get in touch?

CDRs contain data that a telecommunications company collects about phone calls, such as time and length of call. This data can be used in analytical applications.
Fill the form
Share:
Thermonuclear fusion: Artificial intelligence from the frontiers of science to customer segmentation

Cheap, infinite, safe and clean energy Artificial Intelligence from Thermonuclear Fusion research to sales generation or [...]

Read More »
2 case studies on Artificial Intelligence: sales and risk

How is artificial intelligence helping us? Artificial intelligence (AI) has gone from being the stuff of science fiction movies to a [...]

Read More »
What is Business Intelligence and how can it help your company?

The term Business Intelligence (or BI) defines the use of information technologies to identify, discover, and analyze business data, such as business [...]

Read More »
The 5 Challenges of Big Data in Machine Learning

5 Big Data challenges can be highlighted which are defined as V (volume, velocity, veracity, variety and value). R. Narasimhan discussed 3V with [...]

Read More »
See more entries
© Gamco 2021, All Rights Reserved - Legal notice - Privacy - Cookies