The artificial hand project combines AI and embedded systems (Arduino) to control a prosthetic hand based on human hand movements detected by a camera. The goal is to replicate finger motions using servo motors, creating a functional prosthetic or robotic hand.
Key Components:
- Camera: Captures hand movements in real-time.
- Arduino: Processes data from the camera and controls servo motors.
- Servo Motors: Mimic finger movements.
Libraries:
- Mediapipe: Detects hand landmarks such as fingers and joints.
- OpenCV: Analyzes captured images for gesture recognition.
How It Works:
- The camera captures hand movements.
- Mediapipe detects hand landmarks.
- Distances between fingers are measured to recognize gestures.
- Arduino sends signals to servo motors to move the fingers.
- This project aims to simulate human hand movements using computer vision and embedded systems, providing an effective solution for prosthetics and robotics.