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ANTICIPATING DRUNKEN DRIVING ACCIDENTS WITH IOT
Dakannagari Harith Reddy, K.Ganapathi Babu, C.Yosepu

Published in: International Journal of Current Engineering And Scientific Research ( IJCESR)
Volume- 5, Issue-1, pp.52-55, Jan 2018
DPI :-> 16.10046.IJCESR.2018.V5I1.5255.2298



Abstract
The figure of accidents are growing day by day and among these accidents, 65% are due to “drunk and drive” cases. This paper aims to decrease the number of accident cases occurring due to drunk and driving using IoT. This paper uses AL9000P alcohol sensor is interfaced with an Arduino UNO to detect the blood alcohol content in the driver’s breath. The legal limit of alcohol level in India is 0.03%, which mean 30 microliters of alcohol in 100 millilitre of blood. The AL9000P alcohol sensor is placed on top of the steering so that whenever the driver exhales through his mouth the sensor calculates the alcohol level in his breath. After the engine is ignited if the alcohol content is in the range of 0.02-0.03% then the maximum speed of the car reduces to 20KMPH and if the alcohol content is beyond 0.03% then the car doesn’t move from its place and limits the speed of the car to zero KMPH with a message sent to driver’s nears and dears through GPS. The work stated in current paper expect to reduce the total number of accidents caused by drunk and driving, which is very important element for a better tomorrow.

Key-Words / Index Term
IoT, Alcohol, Accidents, ArduinoUNO, AL9000P fuel processor.

How to cite this article
Dakannagari Harith Reddy, K.Ganapathi Babu, C.Yosepu , “ANTICIPATING DRUNKEN DRIVING ACCIDENTS WITH IOT”, International Journal of Current Engineering And Scientific Research ( IJCESR), 5, Issue-1, pp.52-55, Jan 2018. DPI:16.10046.IJCESR.V5.I1.2298