GreenEye: AI Smart Monitoring for Electricity Waste

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Authors: Paras Bhanopiya, Tarun Malve, Vedant Godhwani, Satyam Goswami
Cited by: 0
References: 1

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