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ESP8266-Based IoT Control System for Remote Automotive Applications

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International Research Journal of Engineering and Technology (IRJET)

e-ISSN: 2395-0056

Volume: 11 Issue: 04 | Apr 2024

p-ISSN: 2395-0072

www.irjet.net

ESP8266-Based IoT Control System for Remote Automotive Applications Somil Majila1, Mayank Kumar2, Mayank Shahi3 , Harshit Agarwal4 1,2,3,4Student, Department of Electronics and Communication Engineering, Govind Ballabh Pant Institute of

Engineering and Technology, Ghurdauri(Pauri) , Uttarakhand, India ---------------------------------------------------------------------***---------------------------------------------------------------------

Abstract - In the present scenario, IoT plays a pivotal role in

functionalities, accessing a comprehensive interface via mobile or laptop devices, irrespective of geographical constraints. Additionally, the deployment of advanced ultrasonic sensor technology enhances safety measures by detecting potential obstacles in the vehicle's path, triggering adaptive motor adjustments based on predefined parameters and user preferences. This holistic approach underscores our commitment to innovation, safety, and user-centric design principles, paving the way for a new era of connected and intelligent automotive solutions.

automation and remote control, with industries, especially the automotive sector, embracing IoT-based products extensively. The advent of Internet of Things (IoT) technology has spurred advancements across various domains, notably automotive systems. Our project focuses on integrating IoT principles with motor control mechanisms, harnessing the capabilities of the ESP8266 board—a versatile microcontroller unit. Utilizing the ESP8266 board's functionalities, we have developed a sophisticated system enabling remote control of a car, showcasing the transformative potential of IoT within the automotive industry. For development purposes, we opted for the NodeMCU as our development board due to its costeffectiveness and versatility in IoT-based projects. To facilitate motor control, we incorporated the L298N motor driver module. Furthermore, we utilized the Blynk server as our IoT platform, ensuring seamless remote control and monitoring capabilities for the car. We have also incorporated the ultrasonic sensor (HC-SR04) for the frontal collision detection.

2. METHODOLOGY 2.1 Problem Identification In the rapidly evolving automotive environment, there exists a gap in offering effective solutions for remote vehicle management and monitoring, leading to potential limitations in accessibility and safety for users. Despite technological progress, integrating IoT-based functionalities for real-time vehicle control remains a complex endeavor, creating barriers in meeting user expectations and enhancing safety protocols.

Key Words: Iot, ESP8266, NodeMcu, Blynk, L298N, etc.

1. INTRODUCTION

2.2 Block Diagram

As technology continues to evolve, the automotive sector is harnessing innovative solutions to enhance safety measures and streamline operations, with a primary focus on minimizing accidents and optimizing the driving experience. The advent of the Internet of Things (IoT) has emerged as a transformative element, revolutionizing automation and remote control functionalities across various industries and sectors. Recognizing the potential of IoT in driving efficiency and safety improvements, our project embarks on developing a cutting-edge prototype tailored to empower users with remote vehicle management capabilities from any global location. This groundbreaking initiative aspires to introduce a multifaceted and user-intuitive system, enabling individuals to control, and manage their vehicles seamlessly, thereby elevating convenience, safety, and operational efficiency. By seamlessly integrating state-of-the-art IoT technologies and solutions, we envision reshaping the automotive landscape by emphasizing enhanced accessibility, real-time monitoring, and robust security protocols. The core architecture encompasses intricate connections, linking sensors and motor drivers to the NodeMCU microcontroller, facilitating seamless internet connectivity through a dedicated WiFi network infrastructure. Through the integration of the Blynk IoT platform, users gain unparalleled control over vehicle

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Impact Factor value: 8.226

Fig -1: Block Diagram 2.3 Problem Solution In this project, we address the challenge by implementing a comprehensive solution that integrates various components to facilitate remote vehicle control and monitoring. The key components employed include the NodeMCU microcontroller, L298N motor driver for motor control, an ultrasonic sensor for object detection, and the Blynk platform for remote vehicle management.

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