IoT Based Wireless Data Monitoring System with TFT LCD

Year : 2025 | Volume : 12 | Issue : 03 | Page : 10 18
    By

    J.J. Bandal,

  • Pranav Tekawade,

  • Aniket Shingade,

  • Rohan Satav,

  1. Assistant Professor, Department of Electronics and Telecommunication (E&TC) Engineering, Rajgad Dnyanpeeth’s Shree Chhatrapati Shivajiraje College of Engineering Bhor, Pune, Maharashtra, India
  2. Student, Department of Electronics and Telecommunication (E&TC) Engineering, Rajgad Dnyanpeeth’s Shree Chhatrapati Shivajiraje College of Engineering Bhor, Pune, Maharashtra, India
  3. Assistant Professor, Department of Electronics and Telecommunication (E&TC) Engineering, Rajgad Dnyanpeeth’s Shree Chhatrapati Shivajiraje College of Engineering Bhor, Pune, Maharashtra, India
  4. Assistant Professor, Department of Electronics and Telecommunication (E&TC) Engineering, Rajgad Dnyanpeeth’s Shree Chhatrapati Shivajiraje College of Engineering Bhor, Pune, Maharashtra, India

Abstract

This study introduces the design, development, and implementation of an Internet of Things (IoT)-based wireless data monitoring system that utilizes a Thin-Film Transistor Liquid Crystal Display (TFT LCD) for real-time visualization. The system is engineered to collect, transmit, and display sensor data wirelessly, making it suitable for a range of practical applications such as industrial automation, healthcare monitoring, and environmental observation. The key goal of this work is to enhance the efficiency, reliability, and accessibility of data monitoring processes by reducing the need for manual data collection and human oversight. The proposed system architecture includes sensor modules for data acquisition, a microcontroller for processing, wireless communication modules for data transmission, and a TFT LCD for instant data display. Through experimental evaluation, the system demonstrated a high level of accuracy and responsiveness in real-time conditions. The results highlight the system’s capability to deliver timely and precise data visualization, which is crucial for informed decision-making in critical environments. In addition, the system promotes flexibility and scalability, paving the way for broader adoption across various sectors. Future work could focus on integrating artificial intelligence and machine learning techniques to enable predictive analytics, anomaly detection, and automated responses in complex monitoring systems.

Keywords: ESP32, DHT11, soil moisture sensor, TFT display, LDR

[This article belongs to Journal of Artificial Intelligence Research & Advances ]

How to cite this article:
J.J. Bandal, Pranav Tekawade, Aniket Shingade, Rohan Satav. IoT Based Wireless Data Monitoring System with TFT LCD. Journal of Artificial Intelligence Research & Advances. 2025; 12(03):10-18.
How to cite this URL:
J.J. Bandal, Pranav Tekawade, Aniket Shingade, Rohan Satav. IoT Based Wireless Data Monitoring System with TFT LCD. Journal of Artificial Intelligence Research & Advances. 2025; 12(03):10-18. Available from: https://journals.stmjournals.com/joaira/article=2025/view=225014


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Regular Issue Subscription Review Article
Volume 12
Issue 03
Received 12/04/2025
Accepted 23/06/2025
Published 07/08/2025
Publication Time 117 Days
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