Face Recognition Attendance System

Steps to Set Up and Run the Project

1. Download or Clone the Repository

   • Clone this repository to your local machine or download it as a ZIP file and extract it.

2. Install Dependencies

   • Open a command prompt and navigate to the project folder.
   • Run the following command to install the required packages:

     pip install -r requirements.txt

3. Create a TrainingImage Folder

   • In the project directory, create a folder named TrainingImage.

4. Update File Paths

   • Open attendance.py and automaticAttendance.py.
   • Update all file paths in the scripts to match the paths on your system.

5. Run the Project

   • Execute the attendance.py file to start the application.

Project Flow and Explanation

1. Registering a New Student

• After launching the application, click on the Register New Student button.
• A small window will pop up where you can enter the student's ID and name.
• Click on the Take Image button.
  • This will open a camera window.
  • The system will detect your face and capture up to 50 images (you can modify the code to change this number).
  • The images will be stored in the TrainingImage folder.
  • Tip: The more images you provide, the better the system's face recognition performance will be.

2. Training the Model

• Click on the Train Image button.
  • This will train the model and convert the captured images into numeric format, which the computer can understand.
  • The training process duration depends on your system's performance.

3. Taking Attendance

• Click on the Automatic Attendance button.
  • Enter the subject name.
  • The system will use the trained model to recognize faces and mark attendance automatically.
  • Attendance data will be saved as a .csv file, with separate files created for each subject.

4. Viewing Attendance

• Click on the View Attendance button.
  • Attendance records will be displayed in a tabular format for easy review.

Notes

• Ensure that the camera on your system is functional and properly configured.
• Update paths and configuration details to align with your environment.

Enjoy using the Face Recognition Attendance System!