GreenEye: AI Smart Monitoring for Electricity Waste
Abstract
Energy wastage in institutions like colleges, hostels, and offices accounts for significant unnecessary electricity consumption due to appliances left on in unoccupied rooms.Manual monitoring is labor-intensive and ineffective at scale, while existing automated systems often rely on motion detection alone, leading to false triggers and limited control accuracy.GreenEye is an AI-powered, IoT-based smart energy monitoring system that uses combined PIR motion and current sensors to detect occupancy and appliance usage precisely.The system employs ESP32 microcontrollers for local appliance control and a cloud dashboard for real-time monitoring and alerts.An adaptive AI model learns usage patterns to optimize control parameters dynamically, improving energy savings without compromising comfort.Prototypes demonstrate a 30-40% reduction in electricity wastage with over 95% detection accuracy.GreenEye is scalable, cost-effective, and aligns with sustainability goals and India's Aatmanirbhar Bharat mission, offering a smart solution for institutional energy efficiency.
Fields of Study & Subjects
IoT-based Smart Home Systems
Arduino and IoT Applications
Smart Grid Energy Management
Publication details
- Journal / source
- International Journal of Advancement and Innovation in Technology and Research
- Volume
- 3
- Issue
- 1
- Pages
- 100–104
- Publication date
- 1 January 2026