Analysis of IoT-Enabled Intelligent Detection and Prevention System for Drunken and Juvenile Drive Classification

Drunken driving and juvenile driving are the root causes of accidents on the road. The aim of this book chapter is to put an end to the cause of such accidents, with the use of an IoT-enabled smart automobile by preventing drunken and juvenile drivers from accessing the automobile. A survey highlights that between 2008 and 2017, drunken driving and use of drugs has led to 211,405 accidents across India resulting in the death of 76,446 people. Data also indicates that 2317 juvenile drivers died in accidents during the year 2018. Our solution is to curb the problem at the root, by preventing the driver from accessing the automobile when they are in an intoxicated state or are juvenile. A graphene sensor is fitted on the steering wheel of the automobile. The driver will have to blow air on the sensor; depending on the result, the driver will be given access/denied permission to start the automobile. A fingerprint sensor will also be installed along the rims of the wheel which in turn will fetch data from the cloud and check the age of the driver who is driving once every 30 min. The graphene sensor and the fingerprint sensor are interfaced with the Microcontroller FRDM-K64F which is linked to the cloud-stored database. When the graphene sensor and the fingerprint sensor give permission, the automobile can be started and driven.