Published Paper Details:

This paper presents iLab, a unified smart lab automation system for educational campuses that integrates multiple control modalities to optimize energy use. Key features include NFC-tag authentication for secure access to lighting, AI- driven occupancy monitoring via OpenCV computer vision to regulate HVAC based on real- time room usage, and an intuitive gesture-control interface for manual override of lights and air conditioning. All power usage and load data are continuously logged to a cloud analytics platform, enabling remote monitoring and data- driven optimization. Early evaluations suggest significant efficiency gains: preliminary tests indicate 30-40% reductions in lighting and HVAC energy consumption. By combining security (NFC access), computer vision, and cloud analytics, iLab offers a scalable, sustainable model for smart campus infrastructure. This multi-modal automation not only cuts operational costs but also advances campus sustainability goals through lower energy waste.