Hand Tracking Project with Finger Volume Control:
Hand Keypoint detection is the process of finding the joints on the fingers as well as the finger-tips in a given image.
The model produces 22 keypoints. The hand has 21 points while the 22nd point signifies the background. The points are as shown below:
.
Recognizing gestures of finger tips and controlling the volume of your pc This project also has a live volume bar which shows the volume percentage, whenever the finger tips of the thumb and index finger are in pinched. Here I have used Tip No. 4 and 8 for Volume control. MediaPipe Hands is a high-fidelity hand and finger tracking solution. It employs machine learning (ML) to infer 21 3D landmarks of a hand from just a single frame.
Domain- Python Computer Vision
Packages Intalled- OpenCv mediapipe [virtual environment used]