The Face Recognizer project simulates an intelligent security camera that uses facial recognition to detect and frame human faces, automatically taking a photo every 3 seconds. Built with Python and powered by the robust OpenCV (CV2) library, along with an XML file containing face recognition parameters, this system demonstrates how computer vision technologies can be applied in security and surveillance.
- Facial Recognition: Uses facial recognition algorithms to identify human faces in real-time.
- Automatic Photo Capture: When a face is detected, the system automatically takes a photo every 3 seconds, allowing continuous tracking of individuals within the camera's view.
- Photo Storage: Captured images are saved to a specified directory for easy review and analysis.
- Python
- OpenCV (CV2)
- XML File for Face Recognition