Understanding OpenCV

Pavini Jain
1 min readJun 24, 2021

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In this blog, I will be sharing with you about my experience in OpenCV.

Table of Content:

  1. Definition
  2. Applications
  3. Some important resources
  4. Scope

Definition:

Computer vision is an interdisciplinary scientific field that deals with how computers can gain high-level understanding from digital images or videos. From the perspective of engineering, it seeks to understand and automate tasks that the human visual system can do.

Application:

It has a wide range of applications:

  • Face Recognition
  • Traffic Flow Analysis
  • Parking Occupancy Detection
  • Automated License Plate Recognition
  • Customer Tracking
  • People Counting
  • Social Distance
  • Ball Tracking
  • Goal-Line Technology
  • Cancer Detection
  • COVID-19 diagnosis
  • Mask Detection
  • Vehicle Classification

Some important Resources:

If you are a beginner then the below two resources are good-to-go with:

  1. OpenCV Documentary
  2. Youtube Tutorial

Scope:

OpenCV has a great scope in Machine Learning and Data Science. Due to it’s wide range of applications, it can prove to be the future of technology.

Thank you for reading my blog. If you liked it then don’t forget to clap. Follow me on:

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Pavini Jain

Student at Jaypee Institute of Information Technology