IoT-Based Collision Impact Measuring System Architecture

iot
accident detection
sensor
system architecture
data transmission

This article dives into the architecture of an IoT-based system designed to measure collision impact severity. We’ll explore how it can help in accident response and the advantages it offers.

Introduction:

Accidents happen every day, and unfortunately, delays in getting timely medical care can lead to fatalities. This has spurred the development of IoT systems that can monitor the severity of a collision and automatically alert the emergency ward of the nearest hospital, providing them with the accident’s GPS location.

When multiple accidents occur simultaneously, hospital staff can use the system to prioritize responses based on the severity of the impacts, ensuring the most critical cases receive immediate attention. This also allows them to determine what medical equipment should be brought to the accident site.

The system works by using sensors mounted on the vehicle to detect collision severity. This data, along with the vehicle’s location, is then uploaded to a server and displayed on a web page for easy access by emergency responders.

Collision Impact Measuring System Architecture

The system leverages an Arduino board (or ESP32 board) along with a GSM module for interfacing with sensors and the cloud server.

IoT based Collision Impact Measuring System architecture IoT based Collision Impact Measuring System architecture

Components and Workflow:

  • Sensors:
    • Collision sensors.
    • GPS module.
    • GSM module.
    • Force-sensitive resistors.
  • These components are interfaced with an Arduino board and mounted strategically on the car in areas likely to be affected by an accident.
  • Accident Detection and Data Collection: When an accident occurs, the sensors collect data related to the impact. The Arduino board processes this data.
  • Data Transmission: The Arduino board uses the GSM module to transmit the sensor data and GPS location to a cloud server (e.g., Adafruit or Azure).
  • Data Display and Alerting: The data is then sent to a database that is accessed by a web page. This web page displays all the sensor data along with the GPS location of the accident.
  • Emergency Response: Hospital staff can monitor this web page and dispatch resources to the appropriate accident site based on the displayed data.

Benefits or Advantages of a Collision Severity Measuring System

Here are some of the key benefits of using an IoT-based collision severity measuring system:

  • Reduced Fatalities: By providing immediate medical care, the system can significantly reduce the number of deaths resulting from accidents.
  • Prioritized Response: In situations where multiple accidents occur simultaneously, the system helps prioritize responses based on the severity of the impacts.
  • Easy to Build and Maintain: The system is relatively simple to build and doesn’t require any routine maintenance.
  • Easy Installation: The system is easy to install in vehicles.
  • Flexibility and Adaptability: The system can be easily modified to incorporate other wireless technologies (e.g., LTE-M, NB-IoT, LTE, 5G) depending on the availability in the region, replacing the GSM module if needed.
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