IOT Based Automatic Vehicle Accident Detection and Rescue System

Project Domain / Category

Automation / Embedded System Programming

Abstract / Introduction

There are fewer manual actions in today’s automated or embedded systems. In comparison to our manual systems, they are significantly more adaptable, trustworthy, and accurate. We select an automated control system due to the increased demand for such dependable and versatile systems. Our lives have been made easier by the rapid advancement of technology and infrastructure. The growing demand for autos has resulted in an increase in traffic congestion and accidents. The people’s lives are in grave danger. The time it takes for an ambulance to arrive at the accident site and the traffic congestion between the accident site and the hospital enhance the victim’s chances of dying.

Our automatic ambulance rescue system comes to the rescue to solve this problem. This suggested IoT-based accident detection system helps to reduce the number of people killed or injured in car accidents, as well as the time it takes for an ambulance to arrive at the hospital.
The accelerometer sensor in this rescue system detects the accident, and the GSM and GPS modules contained relay messages about the location to the appropriate guardian and rescue team. A significant accident caused by an impediment can be detected using the accelerometer sensor signal.
The controller sends an alert message to the guardian and a rescue team via the GSM module, which includes the position. As a result, the emergency assistance

Requirements for Function •

Accelerometer sensor module (hardware module)

• Display Case

• Internet Connectivity Module based on GSM/Wi-Fi

• The GPS Module

Application for mobile devices (Android)

• Ability to receive and handle data from the Hardware Module in an online database

• Capable of calculating the critical condition based on data received

• Alerts can be sent to the guardian’s phone number.

• Ability to contact the rescue squad by SMS and voice call (Automated Call recording)

Tools:

• Arduino Kit or other Single Board Processors • Android Studio • Web APIs • C/C++ Programming Language • Assembly Language • Circuit Designing Software (OrCAD Pspice, WorkBench) • Keil Embedded Development Kit (Resistors, Capacitors, oscillators etc.)
• Temperature Sensor • Humidity Sensor • GPS Module • GSM/Wi-Fi Module

Note: The Virtual University of Pakistan will not supply any hardware for this project; students must furnish their own gear.

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