Develoment of an Accident Detection System Using IoT and Blynk Application

An accident is an unpredicted and unintentional event. With the number of drivers on the roads and the number of accidents happening growing, this system is designed to make driving safer. Not getting treatment in time is the main cause of half of all deaths in road crashes. It is observed that the existing system had been suggested as a very effective way to prevent accident dangers employing technologies like V2V communication, smart sensing, mobile edge computing, etc. But a lot of systems emphasize two-wheelers. Most systems make use of the Raspberry Pi as a microcontroller, which is then connected to various sensors. The proposed system is all about detecting accidents quickly and sending info to those who can help. If the driver is in an accident and the structure of the car gets distorted, the flex and mems sensor on the outer surface of the car will sense it and pass that info to an ESP32 module. The ESP32 microcontroller, which uses little power and has Bluetooth and Wi-Fi built in, is used for the research. Lower power consumption, a smaller size, and a lower price are benefits of an ESP32 over a Raspberry Pi. If the flex and mems frequency level is higher than programmed, the ESP32 board will get GPS data from a GPS module and send a notification and communicate the necessary information with driver's registered emergency contacts.