Development of Embedded Assistive Smart Helmet for Bike riding using Intelligent process

Accidents became very common in this world and the majority of accidents are from motorcycles. Deaths are caused due to not wearing of helmet resulting in severe head damage. Even though safety precaution like the helmet is there but most of the riders are not wearing the helmet, so to overcome this issue a smart helmet is required. In this paper, the intelligent features which are embedded in the smart helmet are Helmet switch, alcohol sensor, eye blink sensor, accelerometer sensor, temperature sensor, GPS, and GSM; All these features working together made a ride safe and secure. Firstly, the rider has to wear the helmet compulsorily; otherwise, the rider will be unable to turn on the ignition. Secondly, the eye-blink sensor and alcohol sensor will check whether the rider is drunk and drowsy. If the rider has not taken any alcohol and was not sleepy then the ignition of the bike will be turned on. If an accident occurs the accelerometer sensor will be activated and turns on the GSM and GPS to send the exact location as a message and a call to already predefined contact stored.