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IoT-Enabled Smart Window System for Environmental Adaptation in Home 4.0

Students & Supervisors

Student Authors
Turjo Das Dip
Bachelor of Science in Computer Science & Engineering, FST
Khadija Akter
Bachelor of Science in Computer Science & Engineering, FST
Md Iqramul Kabir
Bachelor of Science in Computer Science & Engineering, FST
Faria Nazneen Omi
Bachelor of Science in Computer Science & Engineering, FACULTY OF SCIENCE & TECHNOLOGY
Jannatun Nure Zaman Dina
Bachelor of Science in Computer Science & Engineering, FACULTY OF SCIENCE & TECHNOLOGY
Supervisors
Md. Faruk Abdullah Al Sohan
Lecturer, Faculty, FST

Abstract

The use of smart home technologies is rapidly increasing, with innovations such as smart doors, door locks, energy management systems, and refrigerators becoming standard. However, limited attention has been given to smart windows, which are an essential component of Home 4.0. This research proposes an IoT-enabled smart window system equipped with advanced technologies to enhance home automation and energy efficiency. The system integrates sensors such as rain, temperature, UV, and motion sensors. The ESP32 serves as an edge device for real-time data processing. Data is transmitted through GSM and MQTT protocols, secured with AES-256 encryption. This ensures seamless and secure communication between the cloud and the system. The smart window autonomously performs actions, such as closing during rain or adjusting based on environmental conditions. User control is enabled via a smartphone application. The system is powered by a hybrid solution using solar energy and rechargeable batteries, promoting sustainability. By addressing the overlooked potential of smart windows, this system contributes to energy savings, improved indoor air quality, and enhanced user convenience. It represents an indispensable innovation in the Home 4.0 ecosystem.

Keywords

Smart IoT Home 4.0 Smart Window Smart Home Automation Energy-efficient Systems

Publication Details

  • Type of Publication: Conference 
  • Conference Name: 2025 IEEE International Conference on Quantum Photonics, Artificial Intelligence, and Networking (QPAIN 2025)
  • Date of Conference: 31/07/2025 - 31/07/2025
  • Venue: Bangladesh Army University of Science and Technology (BAUST), Saidpur, Nilphamari, Rangpur Division, Bangladesh
  • Organizer: IEEE Photonics Society Bangladesh