IBM-internship-project-Face-Recognition-System

IBM internship project Face-Recognition System # Face Recognition Attendance System

A Python-based face recognition system that marks attendance using webcam input. This project uses opencv, face_recognition, and numpy libraries for detecting and recognizing faces.

Description

This project captures images from a webcam, processes them to recognize faces, and logs the recognized faces' attendance in a CSV file. It uses the face_recognition library to detect and encode faces and opencv for image processing.

Features

• Real-time face recognition using a webcam
• Attendance marking with timestamp
• Easy to add new faces for recognition
• CSV logging for attendance records

Installation

To get a local copy up and running, follow these steps:

1. Clone the repository

   git clone https://github.com/your-username/face-recognition-attendance-system.git

2. Navigate to the project directory

   cd face-recognition-attendance-system

3. Create a virtual environment (optional but recommended)

   python -m venv myenv
   myenv\Scripts\activate  # On Windows
   source myenv/bin/activate  # On macOS/Linux

4. Install the required packages

   pip install -r requirements.txt

   Ensure you have the following packages:

   • opencv-python
   • numpy
   • face_recognition

5. Install CMake (required for dlib)

   choco install cmake  # On Windows using Chocolatey
   brew install cmake  # On macOS using Homebrew
   sudo apt-get install cmake  # On Linux using APT

Usage

1. Add images to the ImagesAttendance folder
   Place the images of people you want to recognize in the ImagesAttendance folder. The file names (without extension) will be used as the names for attendance.

2. Run the script

   python attendanceProject.py

3. View attendance log Attendance records will be saved in Attendance.csv.

Contributing

Contributions are what make the open-source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.

1. Fork the Project
2. Create your Feature Branch (git checkout -b feature/AmazingFeature)
3. Commit your Changes (git commit -m 'Add some AmazingFeature')
4. Push to the Branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

License

Distributed under the MIT License. See LICENSE.txt for more information.

Contact

Your Name - [email protected]

Project Link: https://github.com/your-username/face-recognition-attendance-system