An Improved Ai Based Light And Fan Control System Using Yolo Deep Learning To Reduce Electricity Consumption

Abstract

An Innovative Indoor Automation System Enhances Energy Efficiency By Combining Real-time Object Detection With Environmental Sensing. Using The YOLO Algorithm In Python And Light/temperature Sensors, It Monitors Human Presence And Room Conditions To Control Lights And Fans. The System Includes Three Modules: Computer Vision For Occupant Detection, Sensors For Environmental Monitoring, And An Automated Control Unit For Appliances. It Ensures Devices Operate Only When Needed, Promoting Energy Efficiency And Supporting Sustainable Living.

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