Welcome to the Face Recognition Attendance Management System repository! πΈβ
My name is Aashvitt Singh. This project is an advanced solution for efficient and accurate attendance management using state-of-the-art facial recognition technology. By leveraging the power of computer vision and machine learning, our system automates the attendance tracking process, eliminating the need for manual data entry and minimizing errors.
- Facial Recognition
- Real-time Tracking
- Train Faces
- User-Friendly Interface
- Data Security
- Customizable
Build With -
- Python 3.7
Module Used -
All The Module are Latest Version.
- OpenCV Contrib 4.0.1
- Pillow
- Numpy
- Pandas
- Shutil
- CSV
- yagmail
Face Recognition Algorithms -
- Haar Cascade
- LBPH (Local Binary Pattern Histogram)
Software Used -
- Pycharm 2019.2
- VS CODE
- Git
First Download or Clone the Project on Your Local Machine.To download the project from github press Download Zip
or
You can clone the project with git bash.To clone the project using git bash first open the git bash and write the following code
git clone https://github.com/kmhmubin/Face-Recognition-Attendance-System.git
After download, Open the project using Pycharm or VSCODE. Then we have to create an python enviroment to run the program.
First open the terminal or command line in the IDE.Then write the following code.
python -m venv env
Then activate the enviroment using the code below for windows.
.\env\Scripts\activate
[ Notice: If your pc don't have virtual enviroment or pip install the follow this link. How to create Virtual Enviroment ]
After creating the enviroment on your project let's install the necessary packages. To install those package open the terminal or command line and paste the code from below
pip install opencv-contrib-python
pip install numpy
pip install pandas
pip install Pillow
pip install pytest-shutil
pip install python-csv
pip install yagmail
[ **Notice: During the package installization, sometime it shows some error, to avoid those error you can install those packages as admin. ]
After creating the enviroment and installing the packages, open the IDE terminal/command line to run the program. Using the code below.
py main.py
If you want to use it just follow the steps below.
- First download or clone the project
- Import the project to your favourit IDE
- Create an python enviroment
- Install all the packages
- Change the mail information
- Run the project using the command line or your IDE Run Button
We invite contributions from developers, designers, and enthusiasts who share our passion for technology-driven solutions. Join us in revolutionizing attendance management with the latest advancements in AI and facial recognition. Feel free to explore our documentation and dive into the codebase. Your feedback and contributions are highly appreciated.
Let's build the future together! ππ
Let's Connect on LinkedIn & Twitter.
This project is licensed under the MIT License.