OpenCV | What is OpenCV, its Uses and Advantages

Hello and Welcome back to CluentHub's new informative article on OpenCV, written by our team CluentHub. In this Article we will be getting a brief knowledge about OpenCV and why we should use OpenCV. Without any further delay let directly jump into our topic "OpenCV".

Article Contents:-

What is OpenCV

Main objective of OpenCV

Advantages of OpenCV

NOTE:

Some important terms:-

Computer vision - Computer Vision is that domain of computer science which mainly deals with images and videos that are correspond to our site. If we see our alt in form of a video then it process into images. This processing of images and videos by a computer is known as computer vision.

Open  Source- Open source means we have the access to the source code and if we want to change or add new features we can just download the source code and make changes to it.

What is OpenCV :-

OpenCV is a library of programming function modules that are mainly aimed  at real time computer vision. It's an open source or package which is aimed at real-time computer vision.

It's a cross platform (Cross platform means it can be run in many platforms including different CPU architectures and Operating Systems.) which can support Python, Java or C++ . It is originally developed by Intel. It's free for use under open source license. 

Officially OpenCV was launched in 1999, it was initially an intel research initiative to advance CPU intensive applications. the main contributors to the project included number of optimization experts from Russia as well as intel's own performance library team.

In the early stage of OpenCV the main goals of  the project are described as providing advanced Vision research by providing not only open but also optimized code for basic vision infrastructure. 

Main objective of OpenCV:-

Basically the objective was to build an open source optimized code that can run in real time for image and video processing.

Now the OpenCV library is one of the most widely used packages for implementing video detection, motion detection, video recognition, image recognition, and even deep learning facial recognition applications.

Second vision of this project was to disseminate with knowledge by providing a common infrastructure that developers could build on, so that there can be a common infrastructure that every one can see where the project is heading and can contribute in whatever way they can.

So the code is more readily readable and transferable , so every one knows what is happening inside the code and the can easily start contributing to the code and make it better and better. It is a very interesting aspects of any open source software, Developers around the globe can contribute their code to the software. This not only keeps the software open, it also keeps the software free from bug and security concerns.

Another vision of this project is the advanced vision based commercial applications by making portable performance optimized code available for free.

This means OpenCV is itself open and optimized to run fast. It means that other people can use this code to build their own commercial application and make the world a better place.

Advantages of OpenCV:-

OpenCV is written in C++ and its primary interface is in C++. That means the code used to develop OpenCV is C++, because C++ is very fast language and have slow run time, means code written in C++ runs very fast. This is very useful because we are going to develop real-time computer vision applications for that we need really high processing.

Even if it is written in C++ it has multiple interfaces that means other programming language can be used to provide support. This makes OpenCV a versatile module.

One of the important features of OpenCV is that, there are bindings in python, java and MATLAB/OCTAVE programming languages. So it is not necessary to learn C ++ in order to start OpenCV to build your own applications. This allowed many developers to build their applications using Python, Java, JavaScript or MATLAB.

Another main reason for the Popularity of OpenCV is that it can run on Android and other mobile based Applications. In the real world mobile phones are much more used than computers and having a computer based performance application on mobile is very good advantage for us.

It is the reason why millions of  developers from the world use OpenCV to build computer vision applications.

Few use cases for OpenCV are the 2d and 3d featured toolkits. The facial recognition application which is one of the most widely used applications of computer. Vision gesture, Recognition motion Understanding object detection, Segmentation and Recognition are also great examples of Uses OpenCV.

Hope this Article was helpful to you.

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