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IoT-Driven Window System for Real-Time Environmental Monitoring and Enhanced Safety for Home 4.0

Students & Supervisors

Student Authors
Khondaker Iffti Hasan Turjo
Bachelor of Science in Computer Science & Engineering, FST
Debashish Kumar Ghosh
Bachelor of Science in Electrical & Electronic Engineering, FE
Mustakim Ahmed
Bachelor of Science in Computer Science & Engineering, FST
Kazi Redwan
Bachelor of Science in Computer Science & Engineering, FST
Ahmed Hossain
Bachelor of Science in Computer Science & Engineering, FST
Supervisors
Abu Shufian
Lecturer, Faculty, FE
Md. Faruk Abdullah Al Sohan
Lecturer, Faculty, FST

Abstract

The evolution of smart home automation has introduced advanced technologies that enhance security, energy efficiency, and environmental monitoring. Traditional window systems lack automation and environmental awareness, making homes unsafe and energy inefficient. To address this, this research presents an IoT-driven window system integrating automated control with real-time environmental assessment. The prototype uses an ESP32 microcontroller paired with a TFT display for dynamic Wi-Fi setup. It includes multiple sensors such as SW-420 (vibration), PMS-5003 (particulate matter), MQ-135 (air quality), BME280 (temperature, humidity, pressure), and YL-83 (rain). Gear motors control the window based on sensor inputs, supporting manual and automatic modes via Ubidots. Windows close automatically upon detecting rain or high pollution, enhancing safety and energy efficiency. Users receive instant status notifications and remote-control access with personalized settings. Wi-Fi ensures smart home integration, promoting a healthier indoor environment, reducing heating, ventilation, and air conditioning (HVAC) needs, and providing real-time security alerts for safer living.

Keywords

Smart Home Internet of Things Automated Window System Real-time Environmental Monitoring HVAC Home Security.

Publication Details

  • Type of Publication:
  • Conference Name: 2025 IEEE 13th Region 10 Humanitarian Technology Conference (R10-HTC)
  • Date of Conference: 29/09/2025 - 29/09/2025
  • Venue: Chiba University of Commerce, Tokyo, Japan
  • Organizer: IEEE Region 10 & IEEE Tokyo Section