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Voice-Controlled LED System with Arduino and Python

This project enables voice control of LEDs connected to an Arduino board using Python's speech_recognition, pyttsx3, and PyFirmata2 libraries. Users can turn specific LEDs on or off using voice commands.

Prerequisites

  • Python 3.x: Installed.
  • speech_recognition: Install using pip install SpeechRecognition.
  • pyttsx3: Install using pip install pyttsx3.
  • PyFirmata2: Install using pip install pyfirmata2.
  • Arduino IDE: Installed and configured.
  • Arduino Board (e.g., Arduino Uno): Connected to your computer.
  • LEDs (Red, Green, Blue, Yellow): Connected to the Arduino.
  • 220 Ohm Resistors (4): For current limiting with the LEDs.
  • Microphone: Connected to your computer.
  • Internet Connection: Required for voice recognition.

Hardware Setup

  1. LED Connections:

    • Connect the anode (longer leg) of the red LED to digital pin 6 of the Arduino.
    • Connect the anode of the green LED to digital pin 5 of the Arduino.
    • Connect the anode of the blue LED to digital pin 7 of the Arduino.
    • Connect the anode of the yellow LED to digital pin 8 of the Arduino.
    • Connect the cathode (shorter leg) of each LED to ground (GND) through a 220 Ohm resistor.

  2. Arduino Connection:

    • Connect the Arduino board to your computer using a USB cable.

Circuit Diagram

Here's the circuit diagram for this project:

Arduino RGB LED Circuit

(The circuit diagram should visually represent the connections described in the Hardware Setup section.)

Software Setup

  1. Upload StandardFirmata:

    • Open the Arduino IDE.
    • Go to File > Examples > Firmata > StandardFirmata.
    • Upload the StandardFirmata sketch to your Arduino board.

  2. Install Python Libraries:

    • Open a terminal or command prompt.
    • Run the following commands: 
      pip install SpeechRecognition
pip install pyttsx3
pip install pyfirmata2

  3. Run the Python Script:

    • Save the Python code (e.g., voice_led_control.py) in a directory.
    • Open a terminal or command prompt.
    • Navigate to the directory where you saved the script.
    • Run the script using python voice_led_control.py.

Code Explanation

  • speech_recognition: Captures and recognizes voice commands.
  • pyttsx3: Provides text-to-speech feedback.
  • PyFirmata2: Establishes serial communication with the Arduino board to control the LEDs.
  • takeCommand(): Listens for and recognizes voice commands.
  • speak(text): Converts text to speech.
  • Main Loop:
    • Continuously listens for voice commands.
    • Parses commands and controls LEDs accordingly.
  • LED Control:
    • Uses pyfirmata2 to control digital pins based on voice commands.
  • Voice Commands:
    • "on the red light"
    • "on the green light"
    • "on the blue light"
    • "on the yellow light"
    • "light off"
    • "thank you" (to exit)
  • Error Handling: Includes a try...except block to catch and print errors.

How to Use

  1. Set Port Number:

    • Modify the port variable in the script to match your Arduino's serial port (e.g., "COM3", "/dev/ttyACM0").

  2. Run the Script:

    • Execute the Python script.

  3. Give Commands:

    • Speak the commands listed in the Code Explanation section to control the LEDs.

Important Notes

  • Microphone Permissions: Ensure your OS allows the script to access your microphone.
  • Internet Connection: An active internet connection is essential for voice recognition.
  • Voice Recognition Accuracy: Accuracy depends on microphone quality and background noise.
  • Arduino Pin Configuration: Ensure the pin numbers in your Python code match your hardware setup.
  • Firmata: Make sure StandardFirmata is uploaded to your Arduino.

Customization

  • Add more voice commands for other actions or LED patterns.
  • Modify the text-to-speech voice and rate.
  • Integrate with other sensors or actuators.
  • Add a GUI for visual feedback.

Future Improvements

  • Implement a more robust error handling system.
  • Improve voice recognition accuracy.
  • Add features to control more complex LED animations.

🧑‍💻 Author

Kritish Mohapatra
MicroPython | ESP32 | Embedded Systems | IoT Projects
GitHub: [https://github.com/kritishmohapatra]