https://github.com/syedissambukhari/iot-based-automatic-accident-detection-and-rescue-system

self driving car using gyroscope sensor and ultrasonic sensor also detect accident and send realtime alert with google maps location to Users.
https://github.com/syedissambukhari/iot-based-automatic-accident-detection-and-rescue-system

accident-detection arduino arduino-car iot-car rescue-system

Last synced: 8 days ago
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self driving car using gyroscope sensor and ultrasonic sensor also detect accident and send realtime alert with google maps location to Users.

• Host: GitHub
• URL: https://github.com/syedissambukhari/iot-based-automatic-accident-detection-and-rescue-system
• Owner: syedissambukhari
• Created: 2024-08-15T20:28:55.000Z (about 2 months ago)
• Default Branch: main
• Last Pushed: 2024-08-15T20:40:13.000Z (about 2 months ago)
• Last Synced: 2024-09-27T00:41:09.045Z (8 days ago)
• Topics: accident-detection, arduino, arduino-car, iot-car, rescue-system
• Language: C++
• Homepage:
• Size: 7.81 KB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# IoT-Based Automatic Accident Detection and Rescue System

This project focuses on developing an IoT-based system to automatically detect vehicular accidents and trigger a rescue response by alerting relevant authorities with the location and details of the accident.

## Table of Contents

- [Introduction](#introduction)

- [Features](#features)

- [Technologies Used](#technologies-used)

- [Installation](#installation)

- [Usage](#usage)

- [System Architecture](#system-architecture)

- [Project Structure](#project-structure)

- [Contributing](#contributing)

- [License](#license)

- [Contact](#contact)

## Introduction

Accidents are a significant concern on roads, and timely rescue can save lives. This IoT-based automatic accident detection and rescue system uses sensors to detect accidents and automatically sends alerts with precise location details to emergency services and contacts.

## Features

- **Accident Detection:** Utilizes sensors to detect a collision and determine if an accident has occurred.

- **Automatic Alert System:** Sends automated alerts to predefined contacts and emergency services with the accident’s location and other relevant details.

- **Real-Time Monitoring:** Continuously monitors the vehicle's status and provides real-time updates.

- **Location Tracking:** Uses GPS to track the exact location of the accident.

## Technologies Used

- Arduino

- GPS Module

- GSM Module

- Accelerometer/Gyroscope (e.g., MPU-6050)

- Sensors (e.g., vibration sensor)

- IoT Platforms (e.g., ThingsBoard, MQTT)

- Programming Languages: C/C++, Python

## Installation

1. **Clone the repository:**

    ```bash

    git clone https://github.com/syedissambukhari/IoT-Based-Automatic-Accident-Detection-And-Rescue-system.git

    ```

2. **Hardware Setup:**

    - Connect the Arduino, GPS module, GSM module, and sensors according to the provided circuit diagram and code.

3. **Software Setup:**

    - Install the necessary Arduino libraries for GPS, GSM, and sensors.

    - Open the `.ino` file in the Arduino IDE.

    - Configure the GSM module with your SIM card details.

    - Upload the code to the Arduino board.

## Usage

1. **Configure Contacts:**

    - Edit the Arduino code to include the phone numbers or email addresses of emergency contacts.

2. **Deploy the System:**

    - Install the system in a vehicle, ensuring all connections are secure and the GPS and GSM modules have a clear signal.

3. **Monitoring and Alerts:**

    - The system will automatically detect accidents and send alerts to the configured contacts with location details.

## Project Structure

- `Arduino/`: Contains the Arduino code (`.ino` file) and necessary libraries.

- `Diagrams/`: Contains circuit diagrams and system architecture images.

- `README.md`: Project documentation.

## Contributing

Contributions are welcome! Please follow these steps:

1. Fork the repository.

2. Create a new branch (`git checkout -b feature/your-feature-name`).

3. Commit your changes (`git commit -m 'Add some feature'`).

4. Push to the branch (`git push origin feature/your-feature-name`).

5. Open a pull request.

## License

This project is licensed under the [MIT License](LICENSE).

## Contact

If you have any questions or suggestions, feel free to contact me.

- **Syed Issam Bukhari**

- [GitHub Profile](https://github.com/syedissambukhari)