[Update Links] Face Recognition Attendance System Web App Deploy In AWS

Face Recognition Attendance System Web App Deploy in AWS | Udemy [Update 06/2023]
English | Size: 4.3 GB
Genre: eLearning

Build a Comprehensive Attendance System web app using Face Recognition, Machine Learning, Redis, Python, Streamlit

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

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.

Topics covered in this course include:

Introduction to face recognition and attendance systems

Basic image processing techniques

Feature extraction and dimensionality reduction

Face detection and recognition algorithms

Machine learning for face recognition

Building an attendance system with face recognition

Redis with Python

Integrate Redis and Face Recognition system.

Registration Form (Add new person data)

Streamlit for webapp

Real Time Prediction App

Registration Form

Report

By the end of this course, you will have a strong understanding of how to create a complete attendance system using face recognition technology. You will also have the skills to apply this knowledge to other computer vision applications.

See you inside the course.

Who this course is for:
Anyone who like to develop End to End Face Recognition based Attendance System.