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

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

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

Proposal - vision based smart lighting

  PDE3823 – Project Proposal   Student Name: Abdi Ali Student Number: M00814431 Topic of Study: Vision-based smart lighting Assigned Supervisor: Mr. Huan Nguyen   Working Title Development of a Smart Lighting System Using Room Occupancy, Natural Light, and Gesture Based Control   Problem Definition Modern energy efficiency solutions require intelligent systems to optimize power usage. Traditional lighting systems lack adaptability, leading to wasted energy in unoccupied rooms or areas with ample natural light. How can an intelligent lighting system, integrating computer vision, sensors, and gesture-based control, improve energy efficiency while enhancing user convenience?   Justification and Context The demand for energy efficient solutions has surged due to global energy concerns and environmental policies. Smart lighting systems address these challenges by reducing unnecessary energy consumption. Combining automation, gesture control, ...
Read more