Modern architecture is increasingly focused on enhancing user comfort, energy efficiency, and sustainability. “Adaptive Aura” is an innovative smart lighting system that combines motion and ambient light detection to create a dynamic and responsive lighting solution for architectural spaces. This project integrates physical computing to provide a prototype of a system that optimizes energy use while maintaining functionality and aesthetics.
The Problem
Traditional lighting systems often waste energy by staying on in unoccupied or well-lit spaces. This inefficiency increases energy costs and environmental impact, particularly in residential, commercial, and public architectural spaces. Users require an intelligent solution that reacts to their presence and adjusts to environmental lighting conditions.
The solution
“Adaptive Aura” solves this problem by using:
- PIR Motion Sensor: Detects human movement in the space.
- LDR (photoresistor): Monitors ambient light levels to determine when artificial lighting is necessary.
- LEDs: Act as the adaptive lighting source, illuminating only when motion is detected and light levels are low.
Using an Arduino microcontroller, the system activates lights only when needed, cutting energy waste and improving user experience.
BILL OF MATERIALS:
SCHEMATIC:
CIRCUIT DIAGRAM
How the “Adaptive Aura” System Works
The system operates using three main components: a PIR motion sensor, an LDR (photoresistor), and an Arduino microcontroller. Here’s a step-by-step explanation:
1. Input: Sensors Detect Environmental Conditions
PIR Motion Sensor:
- Detects human movement within its range.
- Sends a digital signal (HIGH or LOW) to the Arduino when motion is detected
LDR (Photoresistor):
- Measures ambient light levels.
- Outputs an analog signal that varies depending on the light intensity:
- Bright environment → Higher voltage.
- Dark environment → Lower voltage.
2. Processing: Decision-Making by the Arduino
- The Arduino microcontroller continuously reads inputs from both sensors:
- Motion: Checks if the PIR sensor detects movement.
- Light Level: Compares the LDR’s output against a predefined light threshold.
- Logic is applied:
- If motion is detected AND the ambient light is low, the Arduino activates the LED.
- If either condition is not met (no motion or sufficient light), the LED remains off.
3. Output: Adaptive Lighting
- LED Control:
- When conditions are met, the Arduino sends a signal to turn on the LED, simulating the adaptive lighting.
- The LED automatically turns off when no longer needed, ensuring energy efficiency.
Example Scenario
1: Dark Hallway:
A person enters the hallway, and the PIR sensor detects motion.
The LDR senses that the hallway is dark (below the threshold).
The Arduino turns on the LED, providing light only when needed.
2: Bright Environment:
If the hallway is well-lit, even with motion detected, the LED stays off, conserving energy.
ARDUINO CODE:
PROTOTYPE:
FUTURE DEVELOPMENT:
Emotional Lighting for User Wellness
This system leverages biometric data such as heart rate, body temperature, or stress levels to create a lighting environment tailored to the user’s emotional state. By integrating advanced sensors or wearable devices, the lighting adapts dynamically, providing a personalized atmosphere that enhances well being.
The concept aligns with the growing trend of human-centric lighting, which focuses on improving mental and emotional health through technology.
How It Works:
The system collects real-time biometric data through embedded sensors in the room or wearable devices. This data is analyzed to detect the user’s emotional state, such as stress, relaxation, or focus. Based on the analysis:
Warm tones (e.g., soft amber or orange) are used to create a calming effect, ideal for stress relief or relaxation.
Cool tones (e.g., soft blues or whites) promote focus and mental clarity, suitable for concentration or meditation.
