Implementation of A Smart Helmet with Alcohol and Fall Detection and Navigation System

Since the invention of the first motor vehicle, the automobile industry has been advancing by leaps and bounds. Two-wheelers are no exception, but the safety of the driver is still a precarious situation. Due to the very built and design of the two-wheeler, the rider is more vulnerable to accidents as compared to the traditional four-wheeler vehicle. Therefore, in this paper we propose a holistic solution for the safety of the driver of a two-wheeler. The proposed solution aims to perform three main tasks. Firstly, alcohol detection which would be required to detect whether the rider is under the influence of alcohol. Secondly, a fall detection system which would be required to send notifications to the emergency contacts in case of an accident or a serious fall from the two-wheeler. Lastly, a navigation system to enhance the user experience. Our solution consists of a synchronous working of both hardware and software. For both the alcohol and fall detection we would use sensors which would feed the data to the microcontroller, which in turn would compare the data with the threshold values in real time. By pushing notifications to the relevant emergency contacts, we have managed to make use of the Internet of Things which always helps the system to remain connected to the Internet. The details of the implementation have been elaborated in this paper. In addition, the implementation and observations have also been highlighted to solidify our proposed solution. We believe such a system can not only help secure the life of the rider of the two-wheeler but also improve the experience one has while driving.