This is a Python program that uses the face_recognition library and OpenCV to recognize faces in a live video stream and take attendance. It compares the detected face with pre-registered images and labels the recognized face with the registered name.
Before running the program, the following Python libraries should be installed:
- face_recognition
- opencv-python
- numpy
- csv
- pickle To install these libraries, run the following command:
To run this project, follow the steps below:
- Clone the repository to your local machine
- Install the necessary packages using the following command:
pip install face_recognition opencv-python numpy csv pickle
- Collect the images of the faces you want to recognize and save them in the Resources/Faces folder.
- Train the model using the face_train.py script. This will create a data.pickle file containing the encodings of the faces in the Faces folder.
- Run the main.py script to start the face recognition system.
- The script captures video from the webcam and recognizes the faces in real-time. The name of the recognized person is displayed on the screen.
- To exit the program, press 'q' on the keyboard. Note: This project has been created using Python 3.7, OpenCV 4.5, and face_recognition 1.3.0.
This project is supposed to be integrated with website that is created using ReactJS and NodeJS , it helps in viewing which person is present and has its attendace marked.
