Understanding OpenCV

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.

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