Metadata-Version: 2.4
Name: robot-visionaries
Version: 0.1.0
Summary: A computer vision library for controlling 4-DOF robotic arms using hand gestures.
Author-email: Atharva Pawar <atharva2185@gmail.com>
License: MIT
Project-URL: Homepage, https://github.com/spy-7/robot-visionaries
Project-URL: Bug Tracker, https://github.com/spy-7/robot-visionaries/issues
Keywords: robotics,computer-vision,mediapipe,serial
Requires-Python: >=3.7
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: pyserial>=3.5
Requires-Dist: opencv-python>=4.5.0
Requires-Dist: mediapipe>=0.9.0
Dynamic: license-file

# Robot Visionaries 

"Robot Visionaries" is a powerful, lightweight Python library designed to bridge the gap between computer vision and physical robotics. It allows you to control a 4-DOF (Degree of Freedom) Robotic Arm in real-time using just a standard webcam and hand gestures.

Powered by "Google Mediapipe", this library translates complex hand landmarks into smooth, synchronized servo movements.

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## Key Features

1."Real-Time Tracking": Ultra-low latency hand tracking using Mediapipe.
2. "Intuitive Gesture Control":
     "Base": Hand horizontal position (X-axis).
     "Shoulder": Wrist vertical position (Y-axis).
     "Elbow": Palm size (distance from camera/Z-axis).
     "Wrist Rotation": Combined extension of Index and Middle fingers.
    "Gripper": Precision pinch detection (Thumb to Index).
2."Smooth Motion": Integrated acceleration and speed control to prevent jerky servo movements.
3. "Auto-Homing": Automatically returns the robot to a safe "Home" position when no hand is detected.
*4."Debug Mode": Test your vision logic without needing the hardware connected.

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## Installation

Install the library directly from PyPI:

```bash
pip install robot-visionaries
