Udemy – Facial Recognition Attendance System in Python 2023 2023-6 – Download

Explanation

Attendance System with Face Recognition in Python 2023, This course is designed to teach you how to create a Complete Attendance System using Face Recognition technology. You will learn the principles of facial recognition, image processing, and machine learning algorithms that enable the creation of an accurate and reliable attendance system. During the course, you will use the Python programming language and various libraries, such as OpenCV, Numpy, Pandas, Insightface, Redis to build a complete attendance system.

You will begin by learning the basics of face detection, image extraction, and face recognition algorithms. Then, you will add these algorithms to the attendance system that you will build from scratch. At the end of the course, you will have a complete attendance system that is able to recognize people and mark them as attending based on their facial expressions. The course is suitable for beginners in programming and machine learning, and no prior knowledge of facial recognition is required.

What will you learn?

  • Live Time Participation System
  • Extract and recognize a person’s name and role using face recognition
  • Create 3 vertical Web Apps
  • Integrating the Face Recognition Model with Redis Database
  • Learn about Redis with Python
  • App-1: Real Time Participation System
  • App-2: Registration form for new teachers and students
  • App-3: Report

Who is this course for?

  • Anyone who wants to develop an End-to-End Phase Identifier based Engagement System.

Python’s 2023 Face Recognition Private Portal System

Essence of Face Recognition Attendance System in Python 2023

A participatory system for facial recognition in Python 2023

Requirements

  • At least start with Python
  • At least for starters Pandas, Numpy and OpenCV libraries

Pictures

A participatory system for facial recognition in Python 2023

Sample Clip

Installation Guide

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Subtitle : English

Quality: 720p

Download Links

Download Part 1 – 1 GB

Download Part 2 – 1 GB

Download Part 3 – 1 GB

Download Part 4 – 1 GB

Download Episode 5 – 331 MB

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file size

4.32GB

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