Smart Helmet for Accident Detection and Safety

hough most developing countries have enacted stringent traffic laws, non-compliance with helmet-wearing, alcohol-influenced riding, and poor emergency response increase the fatality rate in road accidents involving two-wheelers. This paper proposes an IoT-enabled intelligent Smart Helmet that provides safety to motorcycle riders by using sensing, actuating, and communication mechanisms. The proposed system integrates different modules such as helmet wear detection, alcohol detection, accident impact analysis, real-time location reporting, and anti-theft. Using an IR sensor, MQ-3 breath sensor, MPU-6050 accelerometer, GSM/GPS modules, and RF wireless communication, the developed prototype will ensure that a motorcycle can be started only when the rider wears the helmet and the alcohol level is below the safe limit. Automatic transmission of the SOS message containing GPS coordinates sends it to the emergency contact in the event of crash detection.