In modern transportation, quick response to road accidents is vital to reducing fatalities and ensuring timely medical assistance. To address this need, we have developed a Smart Car Crash Alert System using Arduino, enhanced with Blynk IoT platform integration for real-time monitoring and instant alerts. This system intelligently detects collisions using an MPU6050 accelerometer and gyroscope, which monitors sudden acceleration or deceleration (G-force), and an FSR402 force sensor, which senses direct physical impacts on the vehicle’s body. When a crash is detected—based on predefined thresholds—the Arduino processes the sensor data and immediately sends a notification to the Blynk mobile app, allowing users or emergency contacts to view the alert remotely on their smartphones. Additionally, the system retrieves the vehicle’s GPS location using the NEO-6M GPS module and displays it within the Blynk dashboard, offering real-time tracking of the crash location. This IoT-enabled approach ensures that crash events are not only detected locally but also communicated instantly via the cloud, making it possible for family members or emergency services to respond faster—even when the driver is incapacitated. By combining smart sensing with IoT connectivity, this project offers a reliable, affordable, and life-saving solution for intelligent vehicle safety systems.

Features of Car Crash Alert System Using Arduino:

• Real-time crash detection using G-force and force pressure.
• Location tracking via GPS (NEO-6M) module.
• Remote notifications through Blynk IoT platform.
• SMS alerts with location using GSM module (SIM800L/SIM900).
• Local buzzer alert for immediate attention.
• Powered by Arduino UNO or Mega.

Components needed for Car Crash Alert System:

Working of Car Crash Alert System:

• The MPU6050 continuously monitors the car’s acceleration on all 3 axes.
• The FSR402 detects physical pressure or collision on a bumper or strategic body part.

If either:

• The G-force exceeds a critical threshold (e.g., >2.5G),
• Or the pressure on FSR crosses the defined limit (e.g., force >500),
  then the system considers it a crash.

The system:

• Sends an SMS via GSM module to emergency contacts with GPS location.
• Sends a notification to the Blynk app, showing crash alert and live location.
• Activates a buzzer for local alert.

Blynk IoT Platform Setup for Car Crash Alert System:

You will need:

• Blynk account (https://blynk.io/)
• Blynk template and device setup in the web dashboard
• Auth token copied into the Arduino code
• Virtual pins for:
  • V0 = Crash Status
  • V1 = Latitude
  • V2 = Longitude

Circuit Diagram of Car Crash Alert System:

Arduino Code for Car Crash Alert System:

#include <Wire.h>
#include <MPU6050.h>
#include <SoftwareSerial.h>
#include <TinyGPS++.h>
#include <BlynkSimpleSerialBLE.h>

// Hardware Serial for GPS and GSM
SoftwareSerial gpsSerial(4, 5);    // RX, TX for GPS
SoftwareSerial gsmSerial(6, 7);    // RX, TX for GSM

MPU6050 mpu;
TinyGPSPlus gps;

// Blynk Auth Token
char auth[] = "YOUR_BLYNK_AUTH_TOKEN";

// Pins
#define FSR_PIN A0
#define BUZZER_PIN 8

// Thresholds
const float G_FORCE_THRESHOLD = 2.5;  // in G
const int FSR_THRESHOLD = 500;        // Analog value

// Variables
float ax, ay, az;
int fsrValue;
bool crashDetected = false;

void setup() {
  Serial.begin(9600);
  gpsSerial.begin(9600);
  gsmSerial.begin(9600);
  Wire.begin();
  mpu.initialize();

  pinMode(FSR_PIN, INPUT);
  pinMode(BUZZER_PIN, OUTPUT);
  digitalWrite(BUZZER_PIN, LOW);

  Blynk.begin(auth, Serial);  // Use hardware Serial for Blynk (with BLE or USB-serial bridge)
  Serial.println("Crash Detection System Initialized");
}

Future Improvements in Car Crash Alert System:

• Buzzer can be placed in the dash for loud warning.
• MPU6050 should be placed on a stable interior surface (under the dash or seat base).
• FSR402 should be mounted inside a bumper or door panel.
• GSM and GPS modules should have exposure for signal (near windows or roofline).

Applications of Car Crash Alert System:

This project has a wide range of real-world applications across multiple industries and user groups:

1. Personal Vehicle Safety

• Automatically alerts family members or emergency services after a car accident.
• Helps lone drivers or those in remote areas receive faster help.
• Useful for elderly or new drivers who may not be able to call for help.

2. Fleet Management & Commercial Vehicles

• Can be integrated into taxis, delivery vans, or logistics fleets.
• Provides real-time crash alerts to central monitoring centers.
• Improves insurance claim handling by recording GPS coordinates and event time.

3. Public Transportation

• Can be used in buses and coaches to notify authorities instantly in case of collisions.
• Supports passenger safety protocols.

4. Motorcycles and Two-Wheelers

• Compact version of the system can be installed on motorcycles or scooters.
• Useful for solo riders in case of hidden or rural accidents.

5. Research and Development

Can be integrated into crash-test rigs or automotive testing environments.

Collects real-time acceleration and impact data for vehicle safety research.

Conclusion

The Smart Car Crash Detection and Alert System using Arduino, GSM, GPS, MPU6050, and FSR402 sensors, enhanced with Blynk IoT integration, is a powerful solution aimed at improving road safety and emergency response. By combining both motion and force-based crash detection with real-time location tracking and remote alerting, the system ensures that accidents are quickly identified and communicated—whether the driver is conscious or not. The use of the Blynk IoT platform further enhances the system’s accessibility and remote monitoring capabilities, making it suitable for personal use, commercial fleets, and even public transport vehicles. This DIY system is not only cost-effective but also a practical foundation for future smart automotive safety solutions.

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