Design and implementation of an IOT enabled vehicle safety system with real time alerts

Abstract

This project focuses on the design and implementation of an IoT-based vehicle road safety system with alert notification using NodeMCU ESP32, various sensors (alcohol, speed, and vibration), a GPS module, a GSM module, and an LCD display, integrated with the Blynk platform for real-time notifications. The primary goal is to enhance vehicle safety by detecting hazardous driving conditions and promptly alerting both users and relevant authorities. The system employs an MQ3 alcohol sensor to detect driver intoxication. If alcohol is detected, the NodeMCU ESP32 processes the data, sends a notification via Blynk, and automatically disables the vehicle’s motor to prevent further operation. Similarly, an LM393 speed sensor tracks the vehicle's speed, and if over speeding occurs, a notification is sent through Blynk, and the motor is stopped to avoid potential accidents. Additionally, the SW420 vibration sensor monitors for significant vibrations, which may indicate a crash. In such cases, the system sends an SMS with the vehicle’s location via the GSM module (in conjunction with a GPS module) and issues a notification through Blynk. An LCD display shows real-time values for alcohol, speed, and vibration, while warning messages are provided based on sensor input. Indicators like LEDs and buzzers alert the driver and surrounding individuals to the vehicle's status and any detected issues. This project addresses the need for a secure, responsive, and user-friendly vehicle safety solution, focusing on preventing drunk driving, reducing speeding incidents, and enabling quick responses to accidents. It aims to improve overall road safety, with the system’s design being scalable for broader application in transportation safety initiatives.