IOT based Vehicle Tracking System using GPS

Introduction to IOT Based Vehicle Tracking System Using GPS

Are you a computer science student looking for an exciting project? Consider working on an IOT based Vehicle Tracking System using GPS. This project is perfect for your final year and offers a practical application of your skills. By developing this system, you can track vehicles in real-time using GPS technology. This project is not only educational but also highly relevant in today's world where vehicle tracking is essential for security and logistics.

Why Choose IOT Based Vehicle Tracking System Using GPS?

There are many reasons to choose an IOT based Vehicle Tracking System using GPS for your project. First, it is a highly sought-after topic in the field of computer science. Many companies are looking for solutions to track their vehicles efficiently. By working on this project, you will gain valuable experience that can help you in your career. Additionally, there are many resources available to help you get started. You can easily find the IOT based Vehicle Tracking System using GPS Source Code Download online, which will give you a head start on your project.

How to Develop IOT Based Vehicle Tracking System Using GPS

Developing an IOT based Vehicle Tracking System using GPS is easier than you might think. Start by researching the basic components needed for the project. You will need a GPS module, a microcontroller, and an internet connection to send data to a server. Once you have the hardware, you can begin coding. There are many tutorials and Live projects on IOT based Vehicle Tracking System using GPS available online to guide you through the process. If you are a B.Tech student, you can also find IOT based Vehicle Tracking System using GPS B.Tech Projects that are specifically designed for your curriculum. For those looking for a smaller project, consider a Mini project download on IOT based Vehicle Tracking System using GPS. If you want to take on a bigger challenge, look for a Major project download on IOT based Vehicle Tracking System using GPS. No matter what your level of expertise, there is a project out there for you. In conclusion, an IOT based Vehicle Tracking System using GPS is an excellent choice for your final year project. It is relevant, educational, and offers many resources to help you succeed. Whether you are looking for a Download Computer Science Students Project on IOT based Vehicle Tracking System using GPS or just want to learn How to develop IOT based Vehicle Tracking System using GPS, there is plenty of information available to get you started. So why wait? Start your project today and take the first step towards a successful career in computer science.

Modules and Description of IOT GPS Cloud Based Realtime Vehicle Tracking System Project:

Vehicle Module:

The Vehicle Module is designed to manage all functionalities related to vehicles. This module is a crucial part of the IOT GPS Cloud Based Realtime Vehicle Tracking System. It tracks all information and details of the vehicles. You can manage vehicle information and assign devices to vehicles within this module.

Features of Vehicle Module:

• Admin can add new vehicle records and assign tracking devices.
• Admin can view the list of vehicle details.
• Only admin can edit and update vehicle records.
• Admin can delete vehicle records.
• All vehicle forms are validated on the client side using JavaScript.

Tracking Module:

The Tracking Module is essential for this project. It retrieves latitude and longitude from devices and uses the Google Maps API to get place details from those coordinates, logging them into the database.

Features of Tracking Module:

• Provides API for integration with IoT hardware devices like NodeMCU, Arduino, and mobile devices.
• Admin can track vehicles in real-time on Google Maps.
• Admin can view all location details with date and time.
• Customers can track their shipments using a tracking ID.
• Offers Google Maps API integrations.

Customer Module:

The Customer Module is developed to manage all customer-related information. It is accessible only to the admin, who can add new customers and manage their complete information.

Features of Customer Module:

• Admin can add new customer records.
• Admin can view the list of customer details.
• Only admin can edit and update customer records.
• Admin can delete customer records.
• All customer forms are validated on the client side using JavaScript.

Device Module:

The Device Module manages all device information. You can add any number of devices to this project, and they will be available in a dropdown menu when adding a vehicle. You can assign multiple vehicles to a single tracking device.

Features of Device Module:

• Admin can add new device records.
• Admin can view the list of device details.
• Only admin can edit and update device records.
• Admin can delete device records.
• All device forms are validated on the client side using JavaScript.

Technology Used in the IOT GPS Cloud Based Realtime Vehicle Tracking System

Software components used to develop the user interface for the IOT GPS Cloud Based Vehicle Tracking System:

• Embedded C Language: Used for all hardware interface coding.
• PHP: Used for business logic and the web interface.
• MySQL: Used as the database for the project.
• Apache 2: The web interface runs on the Apache2 server.
• JavaScript: Used for form validations and animation effects.
• jQuery Library: Utilized for various functionalities such as the calendar.
• Cloud Environment: The application can be hosted on any cloud platform like AWS, Google Cloud (GCP), or Azure.

Static pages available in the IOT GPS Cloud Based Vehicle Tracking System:

• Home Page with a user-friendly interface.
• About Us page describing the project.
• Contact Us page for inquiries.
• Modules page providing detailed information about each module.

This project can be configured on the following operating systems:

• Windows: Easily configured on Windows OS. Requires WAMP or XAMP Server.
• Linux: Compatible with all versions of Linux OS.
• Mac: Easily configured on Mac OS.

You can use any GPS device that provides API integration to send location data (latitude and longitude). Our application will automatically capture this information, plot markers on Google Maps, and list places. You can also use an Android mobile app to send your current location for tracking purposes.