Smart Helmet Detection Accident and Alcohol Detection Using GPS & GSM

With the growing number of 2-wheel motor vehicles, the frequency of accidents is on the rise. A major portion of the fatalities occur because the person was either not wearing a helmet, or his accident was not reported in time, and he could not be saved because of the delayed admittance to a hospital, or because he was riding while drunk. We propose mechanisms that can detect if one is wearing the helmet, detect accidents, and detect whether the person has over-consumed alcohol. For this purpose, we use onboard sensors – gas Sensor, mems sensor. The accelerometer measures the change in tilt, in X Y and Z axes respectively, and sends the data to a server via an online application programming interface (API). The breath analyzer senses the amount of alcohol present in the breath of a person wearing the helmet and reports if it is beyond the legal limit. This can help optimize accident detection in the future when enough data is gathered to provide reliable accuracy. This will ensure the holistic safety of the rider at all times.

This project presents an alert of the accident detection techniques by using smart helmet detection. The purpose of the project is to find the vehicle where it is and locate the vehicle by means of sending a message using a system which is placed inside of vehicle system Most of the times we may not be able to find accident location because we don’t know where accident will happen. Our project Real Time Vehicle Tracking and Accident Detection with GSM is designed to avoid such situations by using Hybrid electricity.

Keywords: Arduino uno, Mems sensor, GPS, Switch, GSM, Buzzer, Relay, DC motor, power supply