Udemy – Attendance System with Face Recognition in Python 2023 2023-6

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 face recognition, image processing, and machine learning algorithms that enable the creation of an accurate and reliable attendance system. Throughout the course, you will use Python programming language and various libraries, such as OpenCV, Numpy, Pandas, Insightface, Redis to build a comprehensive attendance system.

You will start by learning the basics of face detection, feature extraction, and face recognition algorithms. Then, you will integrate these algorithms with the attendance system that you will build from scratch. By the end of the course, you will have a complete attendance system that is capable of identifying people and marking their attendance based on their facial features. This course is suitable for beginners in programming and machine learning, and no prior knowledge of face recognition is required.

What you’ll learn

• Real Time Live Attendance System
• Detect and Idenify person name and person role with Face Recognition
• Develop 3 Streamlit Web App
• Integrate Face Recognition Model with Redis Database
• Learn about Redis with Python
• App-1: Real Time Live Attendance System
• App-2: Registration Form for new teachers and students
• App-3: Reporting

Who this course is for

• Anyone who like to develop End to End Face Recognition based Attendance System.

Specificatoin of Attendance System with Face Recognition in Python 2023

• Publisher : Udemy
• Teacher : G Sudheer , Data Science Anywhere , Convolution Innovations
• Language : English
• Level : All Levels
• Number of Course : 95
• Duration : 9 hours and 29 minutes

Content of Attendance System with Face Recognition in Python 2023

Requirements

• At least beginner to Python
• Atleast begineer on Pandas, Numpy and OpenCV libraries

Pictures

Sample Clip

Installation Guide

Extract the files and watch with your favorite player

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 Part 5 – 331 MB

File size

4.32 GB