This guide will help you develop an IoT-based system for automatically detecting vehicle accidents and sending alerts with GPS coordinates for timely rescue operations. The system uses sensors to detect sudden changes in vehicle dynamics and communicates with emergency services through a cloud service.
Components Required
- Arduino (Uno or similar)
- Accelerometer (e.g., ADXL345 or MPU6050)
- GPS module (e.g., Neo-6M)
- GSM module (e.g., SIM900 or SIM800)
- Power supply (e.g., 12V battery)
- Connecting wires and breadboard
- Cloud service account (for alerts and data storage)
Setting Up the Hardware
Follow these steps to set up the hardware:
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Connect the Accelerometer
Attach the accelerometer to the Arduino to measure sudden changes in vehicle acceleration and detect possible accidents.
-
Connect the GPS Module
Integrate the GPS module to provide the vehicle’s location coordinates during an accident. Connect it to the Arduino for location data.
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Set Up the GSM Module
Connect the GSM module to send SMS alerts to emergency contacts with the accident details and GPS coordinates.
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Power the System
Ensure all components are properly powered using a 12V battery or another suitable power supply.
Programming the Arduino
Write code for the Arduino to detect sudden changes in vehicle dynamics and send alerts in case of an accident. Below is a basic outline of the code:
#include <Wire.h>
#include <Adafruit_Sensor.h>
#include <Adafruit_ADXL345_U.h>
#include <SoftwareSerial.h>
#include <TinyGPS++.h>
// Accelerometer
Adafruit_ADXL345_Unified accel = Adafruit_ADXL345_Unified();
// GPS and GSM
SoftwareSerial gpsSerial(4, 3);
SoftwareSerial gsmSerial(7, 8);
TinyGPSPlus gps;
const float ACCEL_THRESHOLD = 15.0; // Threshold for accident detection
void setup() {
Serial.begin(9600);
gpsSerial.begin(9600);
gsmSerial.begin(9600);
if (!accel.begin()) {
Serial.println("Failed to initialize accelerometer");
while (1);
}
// Initialize GSM module
gsmSerial.println("AT"); // Test GSM module
delay(1000);
gsmSerial.println("AT+CMGF=1"); // Set SMS to text mode
delay(1000);
}
void loop() {
sensors_event_t event;
accel.getEvent(&event);
float accelMagnitude = sqrt(pow(event.acceleration.x, 2) + pow(event.acceleration.y, 2) + pow(event.acceleration.z, 2));
if (accelMagnitude > ACCEL_THRESHOLD) {
sendAlert();
}
while (gpsSerial.available() > 0) {
gps.encode(gpsSerial.read());
if (gps.location.isUpdated()) {
Serial.print("Latitude= "); Serial.print(gps.location.lat(), 6);
Serial.print(" Longitude= "); Serial.println(gps.location.lng(), 6);
}
}
delay(1000);
}
void sendAlert() {
String message = "Accident detected! Location: ";
if (gps.location.isValid()) {
message += "Lat: " + String(gps.location.lat(), 6);
message += ", Lon: " + String(gps.location.lng(), 6);
} else {
message += "GPS location not available";
}
gsmSerial.print("AT+CMGS=\"+1234567890\"\r"); // Replace with emergency contact number
delay(1000);
gsmSerial.print(message);
delay(100);
gsmSerial.write(26); // Ctrl+Z to send the SMS
}
This code reads acceleration data to detect possible accidents and sends an SMS with the GPS coordinates if an accident is detected.
Setting Up the Cloud Service
Configure your cloud service to receive and display alerts from the IoT system. Here’s a basic overview:
-
Create an Account
Sign up for a cloud service that supports HTTP requests and alert notifications (e.g., Firebase, ThingSpeak).
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Set Up Data Fields
Create fields to store accident alerts and GPS coordinates. Set up alert notifications and integrate with emergency services as needed.
-
Integrate with IoT Device
Use the provided API key and endpoint in your Arduino code to send data to the cloud service.
Testing and Calibration
Test the system by simulating accidents and verifying that alerts are correctly sent with the right GPS coordinates. Ensure the system operates reliably under various conditions.
Conclusion
The IoT-based Automatic Vehicle Accident Detection and Rescue System provides a crucial safety feature for vehicles by automatically detecting accidents and alerting emergency services with real-time location data. This system can significantly enhance response times and potentially save lives in critical situations.