Smart Lighting System key Phases; Motion, Light, and Gesture Control


To optimize lighting automation, I have divided my approach into three key phases: room occupancy-based control, natural light adaptation, and gesture recognition. Each phase addresses a different aspect of energy efficiency and user convenience. 

The implementation and simulation of each phase will involve testing the respective sensors and control mechanisms individually before integrating them into a unified system. 

  1. Room Occupancy Control: The PIR motion sensor will be tested to ensure accurate presence detection, and its integration with the relay module will be verified.

  2. Natural Light-Based Adjustment: The light sensor will be simulated in various lighting conditions to confirm its ability to dynamically adjust brightness levels.

  3. Gesture-Based Interaction: The camera module will undergo simulation  to recognize predefined hand movements for controlling the lighting system.


 


1. Light Intensity Control Using Room Occupancy


Motion Detection with PIR Sensors

  • The PIR motion sensor detects human presence and automatically turns lights ON/OFF based on occupancy.

  • This ensures that lights remain on only when needed, preventing unnecessary energy consumption.

  • The Arduino Mega processes motion detection data and controls the relay module to switch lights accordingly.

2. Light Intensity Control Using Natural Light Levels


  • The light sensor  measures real-time natural light intensity and adjusts artificial lighting accordingly.

  • The system dims or turns off lights when sufficient daylight is present, reducing power consumption.

  • This feature enhances comfort by maintaining optimal brightness levels without excessive lighting.


3. Light Intensity Control Using Gestures

Gesture-Based Control (Camera)

  • The camera module captures user hand gestures, allowing seamless control of lights without physical switches.

  • This feature enhances accessibility and modernizes home automation.




After individual validation, all three phases will be merged to form a comprehensive smart lighting system.  . Our project aims to revolutionize lighting automation by integrating motion detection, ambient light sensing, and gesture-based control into a seamless smart lighting system.

Comments

Post a Comment

Popular posts from this blog

1. light intensity based on room occupancy Simulation

Image
This project is a smart lighting system that automatically adjusts light intensity based on room occupancy using a PIR motion sensor. When someone enters the room, the lights gradually brighten, and when the room is empty, the lights dim down smoothly or turn OFF. The system can also use a relay module to control high-power bulbs. I used WokWI to simulate this and also provided the code for it as well and a link of the simulation at the bottom.   Code: #define PIR_SENSOR 2  // PIR Sensor connected to Digital Pin 2 #define LED_PIN 9     // PWM LED pin #define RELAY_PIN 8   // Relay pin for full light ON/OFF   int brightness = 0;  // Initial LED brightness bool motionDetected = false;   void setup() {     pinMode(PIR_SENSOR, INPUT);     pinMode(LED_PIN, OUTPUT);     pinMode(RELAY_PIN, OUTPUT);     Serial .begin(9600); }   void loop() {     int motion = digital...
Read more

PIR Motion Sensor Working! Now Debugging the BH1750 Light Sensor

Image
  I’ve been working on a project that combines a PIR motion sensor and a BH1750 light sensor to create an automatic lighting system. After troubleshooting, I successfully got the PIR motion sensor working , but I’m still working on fully configuring the BH1750 light sensor . The PIR motion sensor detects movement and adjusts the LED brightness accordingly. When motion is detected, the LED brightness increases, and when no motion is present, it dims.  My Serial Monitor confirms this, displaying messages like "Motion Detected! Increasing brightness..." and "No Motion. Dimming lights..." . This means the PIR sensor is responding correctly. However, the BH1750 light sensor is still giving me issues. The Serial Monitor keeps showing "[BH1750] Device is not configured!" , which means the sensor isn’t initializing properly.  Once the BH1750 is fully functional, my project will be able to dynamically adjust light brightness based on both motion and ambient li...
Read more

some existing projects and research related to smart lighting systems

These resources provide insights into existing systems and research that align with your project on smart lighting systems incorporating occupancy sensing and gesture-based controls. Emotion and Gesture-Driven Smart Home System  This project integrates facial and speech emotion recognition, gesture-based controls, and environmental monitoring to manage lighting, ventilation, and water systems dynamically GitHub - Halabilal/Smart-Home-Project: Emotion and Gesture-Driven Smart Home System with Advanced Environmental Controls Adaptive Lighting Systems: Occupancy Sensing This article discusses how occupancy sensing can be combined with other lighting control strategies, such as ambient light detection, to maximize energy savings and sustainability Silvair - Adaptive lighting systems: Occupancy sensing AI Smart Lighting Systems  This article explores how AI-based smart lighting systems can provide the right light in the right place at the right time by lighting areas based on occup...
Read more