Smart Lighting Control
Team
- E/20/089, Y.H. Edirimanna, e20089@eng.pdn.ac.lk
- E/20/361, Y.H. Senadheera, e20361@eng.pdn.ac.lk
- E/20/366, A.P.B.P. Senevirathna, e20366@eng.pdn.ac.lk
Table of Contents
Introduction
An Edge AI based smart lighting control system that simulates ambient light levels and automatically adjusts lighting brightness using AI. The system detects anomalies, predicts occupancy, and calculates energy savings in real time.
System Architecture
Sensor Simulator → Python Edge AI → MQTT Broker → Node-RED → Dashboard …..
AI Features
-Scene Detection - detects Morning/Day/Evening/Night -Adaptive Learning - learns lux thresholds over time -Z-score Anomaly Detection - detects blackouts and flashes -Occupancy Prediction - Random Forest ML model -Energy Saving Calculator - calculates watts and % saved …..