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It contains OpenCv's basic Features,Face Recognition in an image, Automation of Face recognition system using user input

Best Udemy Free Courses 2023,Python,Tech and Progrmming

Automated Multiple Face Recognition AI using Python

 

 

What you’ll learn
  • Automated Multiple Face Recognition in an image
  • Basic Functionalities of Open Cv Library
  • Functionalities of face_recognition Library
  • Google Collaboratory (Colab)
  • Face Detection and Recognition using Euclidean Distance
  • Edge detection
  • Image manipulation
  • Face Location Detection in image
 
 
 
Requirements
  • Basics of Python Programming
 
Description
 

Hello, welcome to the Amazing world of Computer Vision.

Computer Vision is an AI based, that is, Artificial Intelligence based technology that allows computers to understand and label images.

 

Its now used in Convenience stores, Driver-less Car Testing, Security Access Mechanisms, Policing and Investigations Surveillance, Daily Medical Diagnosis monitoring health of crops and live stock and so on and so forth..Even to analyze data coming from outer space stars, planets etc also we use Computer Vision.

 

Along with all it benefits Computer vision Industry is $20 Billion industry which will be one of the most important job markets in the years to come.

As the fastest growing language in popularity, Python is well suited to leverage the power of existing computer vision libraries to learn from all this image and video data.

So.. Learning and mastering this Face Recognition technology is surely up-market and it will make you proficient in competing with the swiftly changing Image Processing technology arena.

 

In this course we’ll teach you everything you how create a Face Recognition System which can be automated so it can add images to its data set with help of user whenever new faces are detected .

Here are the major topics that we are going to cover in this course.

 

Session 1: Introduction

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Session 2: Basics of Computer Vision And OpenCv

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Students will have a basic understanding of computer vision and students will be able to Image Analysis and Manipulation using OpenCv.

 

Session 3: Introduction to Understanding Face Recognition using face_recognition library

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Students will understand how face recognition works and how to implement various functions of face_recognition Library and will learn how to compare two faces using Euclidean Distance.

 

Session 4: Project: Automated Multiple Face Detection

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Students will be able to understand and implement Automated Multiple Face detection AI

 

Session 5:Future Scope and Face Recognition Market

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Students will understand various applications of face detection and will learn about trends in this market

 

At the end of the course you will be able to

  • Create Automated Multiple Face Detection System
  • Learn Basics of Open CV
  • Use Google Collab
  • Understand how face recognition works
  • Understand What is computer vision and how it works

So without wasting much time, lets dive in to this magical world. See you soon in the class room.

Who this course is for:
  • Anyone want to develop facial recognition based applications
  • Developers who wish to use Computer Vision in their applications
  • Python Developers interested in Computer Vision and Deep Learning.
  • Beginners who are interested in Computer Vision based technology.
  • Anyone interested in Image Processing and Artificial Intelligence
  • Anyone interested in the Python programming language
  • code lovers
It contains OpenCv's basic Features,Face Recognition in an image, Automation of Face recognition system using user input
 
 
Automated Multiple Face Recognition AI Python

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