Automatic Drivers Drowsiness and Alcohol Detection System based on IoT

In this modern world driver’s drowsiness and alcohol consumption while driving has became a major problem which leads to number of accidents. This results in number of deaths and major injuries. Where another issues of human violation and environmental damage has become primary focus for government to solve. Continues driving on long routes and ignoring the personal health issues increases the drowsiness. The solution can be obtained by using IoT devices with new era techniques to make prediction of drowsiness. New technologies and new devices are now considerably reducing human efforts, the devices will help to lessen the number of injuries due to drivers fatigue and hence increase the transportation protection; this system deals with automatic motive force drowsiness detection primarily based on visible facts and artificial intelligence. The aim of this project to develop a device which predicts drowsiness and detects the alcohol consumption level. The device consists of the all gas sensor which will detects the alcohol consumption level and web cam moniters the facial expressions. The working of device is handled by raspberry pie and powered by car battries.