IOT Vehicle Accident Detection and Alert System using Arduino

Description

Introduction

The twentieth and early twenty-first centuries have witnessed a massive surge in vehicle ownership, fueled by economic growth and urban expansion. While this revolutionized mobility, it also led to an alarming increase in road accidents worldwide, especially in densely populated nations like India where mixed traffic conditions persist. In 2024 alone, India recorded approximately 180,000 road accident fatalities, and the grim toll rose further in 2025 with over 160,000 deaths across more than 450,000 accidents. National Highways accounted for 26,770 fatalities in just the first half of 2025—an average of 147 deaths per day.

Modern vehicle safety systems now leverage embedded sensors, GPS, and IoT connectivity to detect emergencies in real time. Impact sensors can identify collision events instantly, while GPS and map-matching algorithms can locate the vehicle precisely on the road network. With IoT modules—such as Bluetooth or GSM—the system can promptly transmit alerts to rescue centers, emergency contacts, or medical services, significantly reducing rescue time and improving survival chances.

The proposed IoT Vehicle Accident Detection Alert System using Arduino combines these technologies. An impact sensor detects a collision and triggers an alert buzzer, giving the driver time to respond. If unacknowledged, the system automatically dispatches an emergency message with location data via IoT connectivity. This smart, low‑cost solution not only aligns with the urgent need to tackle India’s evolving road safety crisis but also offers a ready prototype for automotive and IoT engineering projects.

The IoT Vehicle Accident Monitoring System with Alcohol Detection System and a vibration sensor is a revolutionary solution that combines the power of Internet of Things (IoT) technology and alcohol detection features to significantly enhance road safety with vibration sensor that informs the accident of a car/robot. This cutting-edge system offers a range of advantages, including real-time vehicle monitoring, instant accident detection, and accurate alcohol level assessments in drivers. By leveraging these capabilities, it effectively mitigates risks and ensures swift emergency response, thereby making roads safer for everyone.

Objectives:

1. To develop a real-time accident detection system using Arduino and sensors.
2. To notify the driver with a buzzer and allow manual confirmation via a reset button.
3. To automatically send an emergency alert if the driver fails to respond.
4. To demonstrate the system using a Bluetooth-controlled car prototype.
5. To enhance road safety by providing timely alerts to nearby emergency services or authorities.

BLOCK DIAGRAM

List of Components Required:

1. Arduino UNO – Microcontroller board for system control
2. Alcohol Sensor – Detects presence of alcohol from the driver’s breath
3. Push Button – Used for driver response/reset confirmation
4. Buzzer – Audio alert for accident detection
5. Vibration Sensor – Detects impact or sudden collision
6. LCD (16×2) – Displays system status and messages
7. GPS Module – Provides real-time location tracking
8. IoT Module (ESP8266/Bluetooth/GSM) – Sends alert to emergency contacts
9. L293D Motor Driver – Controls the movement of DC motors
10. DC Motors (2x) – Drive the prototype vehicle
11. Battery Pack – Powers the system components
12. 5V Power Supply – Regulates power to sensors and modules
13. Jumper Wires – For internal circuit connections

Methodology:

1. Arduino UNO acts as the central microcontroller, processing sensor and button inputs.
2. A vibration/ impact sensor detects a sudden shock or accident.
3. Upon detection, a buzzer sounds for 20 seconds as a prompt for the driver.
4. If the reset button is not pressed, the system triggers a GSM module to send an emergency alert with Live Coordinates.
5. The message can be configured to notify the owner, police, hospital, or ambulance services.
6. A Bluetooth-controlled car prototype is built using:
   • L293D Motor Driver
   • 2 DC motors for vehicle motion
   • A smartphone app to simulate driving and trigger accident events
7. The prototype simulates real-world accident detection and emergency notification with affordable components.

SOFTWARE

• ARDUINO IDE
• THINKSPEAK.COM

**** Smartphone is not included with the project ***

Right now we are delivery project with GPS plus GSM Module. blynk app we are not working on.
On text msg this project will send msg with location which can be open on Google map app it needs internet.

other Titles for This project:

🚗 Additional Project Title Ideas:

1. Smart Vehicle Accident Detection and Alert System Using Arduino, GPS, and GSM
2. IoT-Based Real-Time Accident Alert System with Alcohol and Accelerometer Sensors
3. Arduino-Enabled Smart Vehicle Crash Detection with Emergency Messaging
4. Alcohol and Impact Sensing Vehicle Safety System Using IoT and Arduino
5. Accident Notification System Using GPS, GSM, and Accelerometer with Arduino Control
6. Embedded Accident Alert System with Real-Time Location and Alcohol Monitoring
7. Automated Vehicle Crash Detection and Rescue Alert Using Arduino and GSM
8. IoT-Based Automotive Safety System with Alcohol Sensor and Location Tracking
9. GPS-GSM Enabled Smart Vehicle Emergency Alert System Using Arduino
10. Alcohol Detection and Collision Alert System for Smart Vehicles
11. Arduino-Based Crash Monitoring System Using Accelerometer and GSM Messaging

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Get the full working project with components, code, diagrams & explanation

No branding on project, handmade look for students, and different styles as required by students.

To Buy/ Make this project with training

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