Abstract :

The Rapid Growth Of The Internet Of Things (IoT) Has Significantly Influenced The Development Of Smart Technologies In Various Domains, Including Smart Homes. Home Automation Systems Have Gained Considerable Attention Due To Their Ability To Improve Convenience, Safety, And Energy Efficiency In Residential Environments. Traditional Household Systems Rely On Manual Operation Of Electrical Appliances Such As Lights, Fans, And Other Devices. This Manual Control Often Results In Inefficient Energy Usage And Limited Monitoring Of Environmental Conditions Within The Home. This Research Presents The Design And Implementation Of An IoT-based Smart Home Automation System Using The ESP32 Microcontroller. The System Integrates Multiple Environmental Sensors To Monitor Important Parameters Within A Home Environment. These Sensors Include The DHT11 Sensor For Measuring Temperature And Humidity, A PIR Sensor For Detecting Human Motion, An LDR Sensor For Identifying Light Intensity, And An MQ2 Sensor For Detecting The Presence Of Gas Or Smoke. The Collected Sensor Data Is Processed By The ESP32 Microcontroller, Which Acts As The Central Controller Of The System. The ESP32 Connects To The Blynk IoT Cloud Platform Through Wi-Fi Connectivity, Enabling Real-time Communication Between The System And The User. Through The Blynk Mobile Application, Users Can Monitor Environmental Conditions And Remotely Control Appliances Such As Lights And Fans. Additionally, The System Provides Safety Alerts Through A Buzzer And LED Indicators When Unusual Conditions Such As Gas Leakage Or Motion Detection Are Identified. By Combining Environmental Monitoring With Remote Appliance Control, The Proposed System Enhances Home Security, Safety, And Energy Management While Providing A Convenient And Efficient Automation Solution. Keywords: Internet Of Things, Smart Home Automation, ESP32, Blynk IoT Platform, Environmental Monitoring, Remote Appliance Control

Published:

30-3-2026

Issue:

Vol. 26 No. 3 (2026)

Page Nos:

1106-1112

Section:

Articles

License:

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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