https://github.com/abhifuturetech/gesture-controlled-robotic-hand-via-cv

This project used computer vision to detects and interprets hand gestures to control robotics hand.
https://github.com/abhifuturetech/gesture-controlled-robotic-hand-via-cv

computer-vision dynamics kinematics large-language-models mediapipe opencv python robotics

Last synced: about 2 hours ago
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This project used computer vision to detects and interprets hand gestures to control robotics hand.

• Host: GitHub
• URL: https://github.com/abhifuturetech/gesture-controlled-robotic-hand-via-cv
• Owner: AbhiFutureTech
• Created: 2024-05-11T12:07:53.000Z (6 months ago)
• Default Branch: master
• Last Pushed: 2024-08-18T17:20:13.000Z (3 months ago)
• Last Synced: 2024-08-18T18:37:02.679Z (3 months ago)
• Topics: computer-vision, dynamics, kinematics, large-language-models, mediapipe, opencv, python, robotics
• Language: Python
• Homepage:
• Size: 16.6 KB
• Stars: 14
• Watchers: 2
• Forks: 3
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Robotics Hand Control Through Computer Vision

This project goal is to create a controlled robotics hand that responds to hand movements. Utilizing an Arduino Uno as the microcontroller, the system translates real-time hand gestures into commands for the robotic hand. I used computer vision technologies, such as mediapipe and opencv to enhances the recognition and interpretation of hand movements.

## Hardware Specifications

 - Arduino Uno

 - MG90S Servo

 - BAttery 9v

 - Voltage Regulator 6v

 - Breadboard

 - Jumper Wires

 - Robotic Hand

 ## Software Specifications

 - Arduino

 - Visual Studio Code

 - Fritzing

 

## You need to install this libraries

```bash

  pip install opencv-python

```

```bash

  pip install mediapipe

```

```bash

  pip install numpy

```

```bash

  pip install matplotlib

```