In this research, we will use computer vision to implement real-time face detection and tracking of the lips position from high-definition video. As Face detection and recognition from an image or a video is a popular topic in biometrics research, it has widely attracted attention due to its enormous application value and market potential, such as a real-time video surveillance system. For face detection and tracking the location of the lips, we use the OpenCV library. The experimental findings were produced utilising computer vision and OpenCV framework libraries at 30 frames per second at 1080p resolutions for increased accuracy and speed in face detection and tracking of lips position, as well as taking a high-definition smart selfie.