Description
Face Recognition Attendance System Web App Deploy in AWS course. This course is designed to teach how to create a complete attendance system using facial recognition technology. You will learn the fundamentals 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 create a comprehensive attendance system. You will start by learning the basics of face recognition, feature extraction and face recognition algorithms. Then, you’ll integrate these algorithms with the attendance system you’ll build from scratch. At the end of the course, you will have a complete attendance system that can recognize people and determine their presence based on their facial features. This course is suitable for beginners of programming and machine learning, and no previous knowledge in the field of facial recognition is required. The topics presented in this course are:
- An introduction to face and presence recognition 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 facial recognition
- Redis with Python
- Integrate Redis and Face Recognition system.
- Registration form (add information of new people)
- Streamlit for web app
- Real time forecasting app
- Registration Form
- Report
At the end of this course, you will have a strong understanding of how to create a complete attendance system using facial recognition technology. You will also have the skills to apply this knowledge to other computer vision applications.
What you will learn in the Face Recognition Attendance System Web App Deploy in AWS course
-
Live attendance system in real time
-
Identify and recognize the person’s name and role with face recognition
-
3. Develop the Streamlit web application
-
Integration of facial recognition model with Redis database
-
Learn about Redis with Python
-
Program-1: Live attendance system in real time
-
Program-2: Registration form for new teachers and students
-
Program-3: Report
This course is suitable for people who
- Anyone who likes to develop an attendance system based on face recognition.
Course details
- Publisher: Udemy
- teacher: G Sudheer
- Training level: beginner to advanced
- Training duration: 9 hours and 30 minutes
- Number of courses: 95
Headlines of the Face Recognition Attendance System Web App Deploy in AWS course on 12/2023
Course prerequisites
- At least beginner to Python
- Atleast beginner on Pandas, Numpy and OpenCV libraries
Course images
Sample video of the course
Installation guide
After Extract, view with your favorite Player.
English subtitle
Quality: 720p
download link
File(s) password: www.downloadly.ir
Size
4.3 GB
Be the first to comment