What is computer vision and how it works

  • Image processing tools

    The goal of computer vision is to understand the content of digital images.
    Typically, this involves developing methods that attempt to reproduce the capability of human vision..

How does computer vision work?

The concept of computer vision is based on teaching computers to process an image at a pixel level and understand it.
Technically, machines attempt to retrieve visual information, handle it, and interpret results through special software algorithms.
Human vision and computer vision systems process visual data in a similar way.

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What is the difference between human vision and computer vision?

Machines can mimic the way people see and perceive visual content.
But the key difference is that computers can only see the digital representation of an image.
Humans can see far beyond visual content.
We can understand the semantic meaning of an image.
Machines can only detect pixels.

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Why Is Computer Vision Important?

Computer vision has been around since as early as the 1950s and continues to be a popular field of research with many applications.
According to the deep learning research group, BitRefine, we should expect the computer vision industry to grow to nearly 50 billion USD in 2022, with 75 percent of the revenue deriving from hardware.
The importance of.


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