What is OpenCV?

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OpenCV stands for open-source computer vision. It was generated to support a common infrastructure for computer vision operations and use system behaviour in financial products. It generally targets image processing, faces recognition, video capture, searching, and object disclosure.

OpenCV is created to implement various operations including recognising and detecting faces, analysing human tasks in videos, identifying objects, recording camera movements, tracking moving objects, and combining images to create a high-resolution image for the accurate scene. 

Let's see the topic defining the term "Computer Vision."

Computer Vision

Computer vision is a flexible scientific area that manages to regenerate, preventing, and learn a 3D image from its 2D image. The aim of computer vision is to know the content of the pictures. It extracts the pictures definition, which can be an object, a content description, three-dimension architecture, etc. For example, the bus can be supported by computer vision, which will recognize and multiple objects around the road, including traffic lights, pedestrians, traffic signs, etc.

There are three main tasks which are defined below −

Pattern recognition: It provides multiple procedures to connect the patterns inside an image.

Photogrammetry: It can take accurate frequency from pictures.

Image processing: It is used to image direction.

Features of OpenCV

There are various features of OpenCV, which are as follows −

  • OpenCV gives a facility to capture and store videos.
  • OpenCV creates feature acknowledgement.
  • In OpenCV, you can read and write on the images.
  • OpenCV facilitates to process of images such as transformation, filter, change element, etc.
  • OpenCV is a library that gives an approach to analyze the video, measure the video's motion, identify the background and recognize the objects.

Applications of OpenCV

There are various applications of OpenCV, which are as follows −


OpenCV can be used to regulate a robot's area. It can also use it in route, Obstacle prevention, and Human-Robot Interaction.


OpenCV can support patients by arranging and identifying cells or tumours, 2D/3D division, 3D organ reconstruction, and vision-guided robotic surgeries.

Industrial Automation

It tends to be useful in terms of determining defects of stock, scanner tags and packages, object arranging, record analysis, etc.


This can be used in inspection and biometrics, and finally, for shipment, it can facilitate us to recognize driver carefulness and create independent vehicles.

Published on 10-Mar-2021 07:31:39