Latest technological advancement in Computer Vision

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When we talk about revolutions that have shaped the way computers work, computer vision definitely comes to the forefront. Virtual reality, home tech synchronizing, and mobile payments are some of the most common applications of computer vision that have rapidly gained traction. And given that it can be amalgamated with different technologies, the future of computer vision seems bright and is likely to dominate the markets in 2022 and beyond. In this article, we are going to take a closer look at the latest advances in computer vision solutions. We are going to talk about the future of computer vision as well.

What is Computer Vision?

Computer vision is one of the subfields of artificial intelligence that focuses on creating digital systems that can derive meaningful information from videos, digital images, and other visual inputs similarly to humans. This fantastic AI-related invention is all about understanding and automating tasks that are usually done by the human optical system. This includes correctly identifying and observing objects or people in a digital image and providing appropriate output.

Current Trends in Computer Vision

Below, we list the top 3 advances in computer vision that you should know about. We reckon then will have a tremendous impact on the development of AI and related technologies.

Deep Learning in Image Recognition and Classification

Deep learning has gained popularity mainly because of its capability to deliver accurate results. Researchers can now use this technology to solve complex computer vision tasks such as image recognition and image classification.

Edge Computing

We live in a technological era where business executives make time-critical business decisions based on what they see on computer vision systems. Often, it takes too long for images and videos to be sent to a centralized location, making it harder to make the necessary decisions within the speculated timelines. And sometimes, physical network limitations don’t provide enough bandwidth for all the videos and images to be sent to the same location.

Merged Reality: VR and AR Enhanced

Augmented reality (AR) and virtual reality (VR) give users an interactive experience of a real-world environment enhanced by computer-generated information. They have become prevalent across a broad range of business applications, particularly in the education, marketing, gaming, and e-commerce sectors. The two terms are sometimes used interchangeably, but they are quite different from each other

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