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Face Tracking Robotic Arm

Introduction:

This project is a face tracking robotic arm developed using OpenCV, Arduino, and PyFirmata. The purpose of this project is to demonstrate how computer vision techniques can be integrated with robotics to create an interactive system capable of tracking and following human faces in real-time.

Face Tracking Robotic Arm

Features:

  • Real-time face detection and tracking using OpenCV.
  • Control of a robotic arm using Arduino and PyFirmata.
  • Smooth and precise movement of the robotic arm to follow detected faces.
  • Adjustable parameters for sensitivity and speed of the robotic arm movement.
  • Simple and intuitive interface.

Face Tracking Robotic Arm

Requirements:

  • Python 3.2
  • OpenCV
  • PyFirmata
  • Arduino board (e.g., Arduino Uno)
  • Robotic arm kit
  • USB cable

Installation:

  1. Clone this repository to your local machine:

    git clone https://github.com/PriyanshuLathi/Face-Tracking-Robotic-Arm

  2. Install the required Python dependencies.

  3. Upload the Arduino sketch (face_tracking_robotic_arm_arduino.ino) to your Arduino board using the Arduino IDE.

Usage:

  1. Connect the Arduino board to your computer via USB cable.

  2. Run the Python script Face_following_2.py:

    python Face_following_2.py

  3. Position the robotic arm in front of the camera, ensuring it has a clear view of the surroundings.

  4. The robotic arm will start tracking and following detected faces in real-time.

Configuration:

  • Adjust the SERVO_PIN and CAMERA_INDEX variables in the Face_following_2.py script according to your setup.
  • Fine-tune the SPEED and SENSITIVITY parameters to achieve optimal performance based on your environment and requirements.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Contact

For questions or feedback, feel free to reach out:

Authors

  • Priyanshu Lathi