Computer Vision – What is it ?

Computer vision is the science and technology of enabling computers to see and understand what they are viewing. This translates into computers gaining a high level of understanding of the content in images or videos. Its goal is to have the same capabilities as human sight and automate it and is a critical technology to the field of Artificial Intelligence and Deep Learning. The understanding of the content of images and videos means the acquiring, processing, and the analysis of digital images and videos and converting this into a numerical representation that the computers can act upon.  In order to accomplish this task computer vision enlists the help of physics, mathematics, signal processing, pattern recognition, image processing, and artificial intelligence.

The fields of computer vision


Computer Vision Test Tooltip  is being used in many fields like medical image processing, industrial control processing, robotics, visual surveillance, homeland security, autonomous vehicles, aviation, drones  and its results are nothing short of amazing.   As each day passes Computer Vision makes its way into our lives more and more.

How can you leverage it ?

Today there are software development APIs (Application Programmer Interfaces) that you can use to easily integrate this technology directly into your applications from companies like Google, Microsoft .  The most popular open source solution is OpenCV library.  

OpenCV Library

OpenCV has been released under the BSD license and is free for both academic and commercial license.  It has C++, Python, C, and Java interfaces and runs on most of the popular operating systems.  The library was designed for computational efficiency and with a strong focus on real-time applications.  Written in optimized C/C++, the library can take advantage of multi-core processing

Adopted all around the world, OpenCV has more than 47 thousand people of user community and estimated number of downloads exceeding 14 million.  The OpenCV library is mentioned here because we will use it later to demonstrate Computer Vision in action working with a Deep Learning Cascade Haar model to solve a real world problem.

More information about OpenCV can be found at 

Next Step

Now that you have a basic understanding of Artificial Intelligence, Deep Learning, Computer Vision.  Lets take a look at an example that ties it all together.


Watch AI in action.  Click HERE to learn more