Identity Guard is an advanced face recognition system designed to enhance security measures by accurately identifying individuals in real-time. Leveraging Python, OpenCV, and face recognition library, this project offers robust identification capabilities. It works by encoding facial features from images stored in a designated folder and matches them with real-time video feed data. Upon detection, it provides immediate identification, helping ensure secure access control and personnel management.
- Real-time face detection and recognition
- Secure identification of individuals
- Customizable encoding and matching parameters