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πŸ€– Computer vision project that detects and tracks objects by color 🎨 in real time using Python and OpenCV

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Color Tracking Robot

MIT License Language Status


πŸ“š Table of Contents


πŸš€ Introduction

Python project for real-time color-based object tracking using OpenCV.
Detects and follows objects of a chosen color in live video.

Perfect as a first step into computer vision, image processing, and robotics. Easy to extend for simulated or physical robots, and for educational experiments.


🎬 Demo

Demo GIF


πŸ› οΈ Requirements

  • Python 3.8+
  • OpenCV (opencv-python)
  • NumPy

πŸ“¦ Installation

1️⃣ Clone the repository:

git clone https://github.com/valentechie/color_tracking_robot.git

2️⃣ Navigate to the project folder:

cd color_tracking_robot

3️⃣ Install dependencies:

pip install opencv-python numpy

πŸ•ΉοΈ Usage

Run the main script:

python color_object_tracker.py
  • Use your webcam to start tracking.
  • Default color can be changed in the script (HSV values).
  • Press q to exit.

πŸ“ File Overview

  • color_object_tracker.py: Main tracking logic.
  • README.md: Project documentation.
  • requirements.txt: List of Python dependencies.

πŸŽ“ Project Context

Developed as a robotics and computer vision learning tool.
Great for experimenting with image segmentation, contour detection, and real-time tracking.
Inspired by hands-on projects and practical robotics integrations.


🀝 Contributing

Contributions are welcome!

  • Fork this repository
  • Open issues for bugs, ideas, or improvements
  • Submit pull requests to enhance the project

πŸ“„ License

This project is licensed under the MIT.

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πŸ€– Computer vision project that detects and tracks objects by color 🎨 in real time using Python and OpenCV

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