Mood Based LED Light

by angasailakshmi in Living > Health

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Mood Based LED Light

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The Mood-Based LED Light Project is an AI-powered system that detects a person’s facial expression or mood using a camera and automatically changes LED colors accordingly. For example, it can glow green when happy, blue when sad, or red when angry, creating an interactive and personalized environment.

Supplies

  1. Quarky board
  2. LED lights
  3. Laptop
  4. PictoBlox software
  5. Camera/Webcam (for mood detection)
  6. Machine Learning extension or face detection model
  7. Power source


Introduction

The Mood-Based LED Light Project is an innovative AI and IoT-based system that detects human emotions through facial expressions using a camera and changes LED light colors based on the detected mood. This smart lighting system creates an interactive environment by automatically responding to emotions such as happiness, sadness, anger, or surprise.

In this project, Quarky with AI and machine learning capabilities is used to process facial expressions, while LEDs display different colors to represent various moods. The project demonstrates how artificial intelligence can be integrated with smart automation to improve daily life, emotional well-being, and user experience.


Components Required

To build the Mood-Based LED Light Project, you will need the following components:

  1. Quarky controller board
  2. Camera or webcam for facial expression detection
  3. RGB LED or multiple colored LEDs
  4. Computer/laptop with PictoBlox software installed
  5. AI/ML extension in PictoBlox for face detection and mood recognition

Programming the Project

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  1. Add the Face Detection or Emotion Recognition extension
  2. Connect Quarky to PictoBlox
  3. Use camera input to detect facial expressions
  4. Create conditions for different moods:
  5. Happy → Green LED
  6. Sad → Blue LED
  7. Fear → Red LED
  8. Danger → White LED


  1. Upload the code to Quarky or run it live

The AI model will continuously analyze the user’s face and automatically adjust LED colors based on detected emotions.

Applications

Applications:

Smart home automation for personalized room lighting.

Stress relief and mood enhancement environments.

Hospitals or therapy centers for emotional support.

Conclusion

The Mood-Based LED System successfully demonstrates how Artificial Intelligence and sensor technology can be used to create a smart environment that responds to human emotions. By detecting the user’s mood and changing LED colors accordingly, the project improves personalization, comfort, and interactive experiences. It highlights practical applications of emotion recognition in smart homes, wellness systems, and assistive technologies. Overall, this project enhances understanding of AI, automation, and real-world problem-solving while showcasing an innovative approach to human-centered technology.