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Computer Vision and Augmented Reality


computer vision and augmented reality

Technology is moving at breakneck speed and is making our lives better in every way. Ever since the pandemic augmented reality technology has taken a huge leap and became more prevalent since its adoption in smartphones, tablets, and other communication devices. Thanks to the advancement in computer vision, we are now able to leverage additional benefits to augmented reality applications. But before that, aren’t you curious to know what computer vision is? If yes, then read on to find out.

What is Computer Vision (CV)?

Computer vision is a type of AI that we have all experienced knowingly or unknowingly. Let’s take a quick look at what it is.

Computer Vision (CV) refers to the use of machine learning to process, analyze and understand digital images or videos in the real world to derive meaningful decisions and take action based on that. In simple words, computer vision allows machines to recognize and understand visuals just like humans. It is used in medical visualization, maintenance, and repair, etc in recent years. One of the complex examples of computer vision is in self-driving cars.

We, human beings gather almost all information through visual perception. Our intelligence enables us to identify and make inferences from any observation. Even though computers can’t identify objects the same way we do, with careful development and training and with the help of computer vision, machines can be taught to identify objects and can be used to address individual challenges in almost every industry vertical.

Computer Vision in Augmented Reality

As we all know, augmented reality technology enables computing devices such as smartphones, tablets, and smart glasses to overlay objects on the real world. Computer vision plays an important role in augmented reality. Though the real potential of computer vision can only be leveraged with Artificial Intelligence (AI) and machine learning, it helps to build more accurate augmented reality environments and enables detection and identification of objects and locating real-world elements. In other words, it helps in object detection and tracking. It also supports augmented reality with simultaneous localization and mapping (SLAM).

Future of Computer Vision

Computer vision enabled augmented reality has enormous potential and addresses challenges across various industry verticals especially in places where human capabilities are high risk or costly. According to market and markets report, the computer vision market is expected to rise above $17.4 billion by 2024. To keep up with the competitive spirit, many businesses are leveraging the benefits of computer vision enabled AR. One thing is for sure, AR is here to stay and we will see a lot of improvements in this phase of AR in just a few years.

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