A real-time face detection and tracking system using Haar Cascade classifiers.
This project detects and tracks human faces in a live video stream. By using Haar Cascade classifiers, it provides accurate and real-time face detection, which can be applied in various domains like security systems, facial recognition, and user interface development.
- Real-time face detection and tracking.
- Utilizes Haar Cascade classifiers for robust face detection.
- Visual feedback with bounding boxes and status text.
- Python
- OpenCV
- Clone the repository:
git clone https://github.com/Aniket-Choudhari/Face-Detection-and-Tracking.git
- Navigate to the project directory: bash cd Face-Detection-and-Tracking
- Install the required dependencies: bash pip install -r requirements.txt
Run the face detection script: bash python face_detection.py The script will open a video stream from your camera and display the detection in real-time.