Alcohol Detection System in Vehicle using Arduino

International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395 -0056
Volume: 04 Issue: 06 | June -2017 www.irjet.net p-ISSN: 2395-0072
© 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 287
Alcohol Detection System in Vehicle Using Arduino
1Pranjali Ingalepatil, 2Priyanka Barhate, 3Bhagyashri Nemade, 4Vijay D. Chaudhari
1,2,3 B.E student at Godavari College Of engineering , Jalgaon, Maharashtra, India
4Asstt. Prof. E&TC Engg dept., GF’s Godavari COE, Jalgaon, Maharashtra, India
1,2,3,4 North Maharashtra University, Jalgaon, Maharashtra, India
------------------------------------------------------------------------***-------------------------------------------------------------------------
Abstract- The aim of our research paper is to represent
our project which makes human driving safer and to
overcome accidents. This project is developed by integrating
alcohol sensor with Arduino board. Arduino processor
ATmega328 is able to handle more functions than
conventional microcontrollers. The alcohol sensor used in
this project is MQ3 which to detect the alcohol content in
human breath. Since sensor has fine sensitivity range
around 2 meters, it can suit to any vehicle and can easily be
hidden from the suspects. This project is fitted inside the
vehicle. The project is designed for the safety of people
sitting inside the vehicle.
Keywords- Arduino ATmega328, alcohol detector, MQ3,
LCD, Buzzer.
I. INTRODUCTION
Drinking and driving is already a serious public health
problem ,which is likely to emerge as one of the most
significant problems in near future .the system
implemented by us aims at reducing the road accident in
the near future due to drunken and drive . This paper
present the progress in using the alcohol detector ,a device
that senses a change in the alcoholic gas content of the
surrounding air these device is more commonly referred
to as a breath analysis, as it analysis the alcohol content
from person’s breath. The system detects the presence of
alcohol in the vehicle and immediately locks the engine of
the vehicle.
II. LITERATURE SURVEY
In this paper author describes the alcohol
detection system for vehicle by using alcohol sensor, GPS
and GSM module. [1]
In this paper author discuss about the smart
helmet system using alcohol detection for vehicle
protection.[3]
This paper introduces methods such as alcohol
detection, heart beat rate monitoring system and personal
identification system and discuss how they can be
implemented to avoid accidents.[4]
Instead of using Arduino board in this project they
used microcontroller 16F877A [5].
In this paper author discuss about driver’s behaviour,
safety application & auto theft prevention system [6].
This paper represents accident vehicle
automatic detection system by image processing [8].
In this paper they describe about body area sensing,
alcohol detection craving [9].
In our paper we discuss about the alcohol detection
system for vehicle using alcohol sensor MQ3 and buzzer
using Arduino.
PROBLEM STATEMENT
Drunken driving is considered as one of the major reason
of accidents in worldwide. Drivers under the influence of
alcohol shows a clear failure of perception recognition and
vehicle control. So, by this accident occurs.
PROPOSED SYSTEM
Alcohol detection in vehicle system is continuously
growing over years which could resolve drunken driving
accidents worldwide.
III. HARDWARE MODULES
Figure1. Hardware Modules

The entire system adopted the Arduino uno
microcontroller board (Based on ATMEGA 328 ), the
principle of the hardware chart as shown in fig1. The core
functions modules are Arduino uno alcohol sensor module
(MQ3), LCD display, buzzer, relay.
ARDUINO:- The arduino board is the central unit of the
system. all the components are interface to the board and
programmed as per their functionality to operate in
synchronization .
ALCOHOL MODULE:- It is used to sense the alcohol. The
analog output of which is applied to the arduino board.
LCD:- If alcohol is detected it displays the message
indicating “alcohol detected”.
1. ARDUINO BOARD
The arduino board is the central unit of the system. The
arduino uno is the microcontroller board based on the
ATmega 328. It is a programmable microcontroller for
prototyping electromechanical devices.it has 14 digital
inputs/output pins (of which 6 can be used as PWM
output),6 analog inputs , a 16 MHz ceramic resonators the
arduino differs from all preceding board is that it does not
use the FTDI USB to serial driver chip.
Figure 2. Arduino Board Discription
FEATURES
Microcontroller ATmega328
Operating Voltage 5V
Input Voltage 7-12V
Input Voltage (limits) 6-20V
Digital I/O Pins 14
Analog Input Pins 6
DC Current per I/O Pin 40 mA
DC Current for 3.3V Pin 50 mA
Flash Memory 32 KB (ATmega328)
SRAM 2 KB (ATmega328)
EEPROM 1 KB (ATmega328)
Clock Speed 16 MHz
2. ALCOHOL SENSOR (MQ3)
The analog gas sensor- MQ3 is suitable for alcohol
detecting, this sensor can be used in a breath analyzer. It
has a high sensitivity to alcohol and small sensitivity to
benzene. The sensitivity can be adjusted by the
potentiometer sensitive material of MQ3 gas sensor is
SnO2, which with lower conductivity in clean air. When
the target alcohol gas exist, the sensors conductivity is
higher along with the gas concentration rising, use of
simple electro circuit, convert change of conductivity to
correspond output signal of gas concentration.
Figure 3. Alcohol Sensor
MQ-3 gas sensor has high sensitivity to Alcohol, and has
good resistance to disturb of gasoline, smoke and vapour.
It has fine sensitivity range around 2 meters. The sensor
could be used to detect alcohol with different
concentration; it is with low cost and suitable for different
application.
Sensitivity Adjustment:
Resistance value of MQ-3 is difference to various
kinds and various concentration gases. So, when
using these components, sensitivity adjustment is
very necessary. It is recommended to calibrate the
detector for 0.4mg/L (approximately 200ppm) of
Alcohol concentration in air and use value of Load
resistance that (RL) about 200 KΩ (100KΩ to 470
KΩ). When accurately measuring, proper alarm point
for the gas detector has to be determined after
considering the temperature and humidity influence.
Character configuration:
1. Good sensitivity to alcohol gas.
2. Circuit is simply driven.
3. Low cost and long life.

4. Small towards benzene and High sensitivity to
alcohol .
5. Fast response and high sensitivity and stability and
long life.
Specification:
1. Power supply requires 5 volts.
2. Interference type: analog only.
3. Pin specification: 1-output, 2-GND, 3-VCC
4. High sensitivity and fast response.
5. Stable and long life
6. Small towards benzene and High sensitivity to alcohol
Simple drive circuit with size:40*20mm
3. LIQUID CRYSTAL DISPLAY
Liquid crystal display screen is the electronic display
module and find a wide ranges of applications. A 16*2 LCD
display is very basic module and it is very commonly use
in various devices and circuit. These modules are
preferred to seven segments and other multi segments
LEDs. The reason being: LCDs are economical; easily
programmable; have no limitation of displaying special
and even custom characters (unlike in 7 segments),
animations and so on. A 16*2 LCD means it can display 16
characters per line and there are 2 such lines. In this LCD
each character is displayed in 5*7 pixel matrix. This LCD
has 2 registers , namely command and data.
Figure 4. LCD Display
The command registers stores the command instructions
given to the LCD. A command is an instruction given to
LCD to do a predefined task like initializing it, clearing its
screen, setting the cursor position, controlling display etc.
the data registers stores the data to be display on the LCD .
the data is the ASCII value of the character to be
displayed on the LCD.
4. BUZZER
Figure 5.Buzzer
Features:
1. The PS series are high performance buzzers that employ
uni-morph piezoelectric elements and are designed for
easy incorporation into various circuits.
2.They feature extremely low power consumption in
comparison to electromagnetic units.
3. Because these buzzers are designed for external
excitation, the same part can serve as both a musical tone
oscillator and a buzzer.
4. They can be use with automated inserters, moisture-
resistant models are also available
IV. SYSTEM FLOW CHART

ADVANTAGES
1. To prevent accident due to drunk and driving.
2. Easy and efficient to test the alcohol content in the body.
3. Quick and accurate results.
4. Helpful for police and provides and automatic safety
systems for cars and other vehicles as well.
APPLICATIONS
1. “Alcohol detector project” can be used in the various
vehicles for detecting whether the driver as consumed
alcohol or not.
2. This project can also be used in various companies or
organizations to detect alcohol consumptions of
employees.
V. RESULTS & DISCUSSION
Figure 6. Hardware setup
Figure 7. Output on LCD
When the drunken driver enters in the vehicle alcohol
sensor senses the alcohol, therefore buzzer rings and LCD
displays that alcohol is detected as shown in fig.6 and
ignition of vehicle automatically turns off by relay. So, by
this the purpose of our project succeeds.
VI. CONCLUSION
We have provided a very effective solution to develop an
intelligent system for vehicles for alcohol detection whose
core is Arduino. Since sensor has fine sensitivity range
around 2 meters, it can suit to any vehicle and can easily
be hidden from the suspects. The whole system has also
an advantage of small volume and more reliability. As the
growing public perception is that vehicle safety is more
important, advances in public safety is gaining acceptance
than in the past. Future scope of this system is to control
the accidents causes due to alcohol consumption. This
system improves the safety of human being. And hence
providing the effective development in the automobile
industry regarding to reduce the accidents cause due to
alcohol.
VII. REFERENCES
[1] Lea Angelica Navarro, Mark Anthony Diño, Exechiel
Joson, Rommel Anacan, Roberto Dela Cruz Electronics
Engineering Department, Technological Institute of the
Philippines- Manila
Manila, Philippines-Design of Alcohol Detection System for
Car Users thru Iris Recognition Pattern
Using Wavelet Transform[2016 7th International
Conference on Intelligent Systems, Modelling and
Simulation]
[2] Cahalan, D., I. Cisin, and Crossley, American Drinking
Practices: A National Study of Driving Behaviour and
Attitudes. 1969, Rutgers University Press: New
Brunswick, NJ.
[3] MUGILA.G, MUTHULAKSHMI.M, SANTHIYA.K,
Prof.DHIVYA.P- SMART HELMET SYSTEM USING
ALCOHOL DETECTION FOR VEHICLE
PROTECTION[International Journal of Innovative
Research in Science Engineering and Technology (IJIRTSE)
ISSN: 2395-5619, Volume – 2, Issue – 7. July 2016]
[4] Dhivya M and Kathiravan S, Dept. of ECE, Kalaignar
Karunanidhi Institute of Technology- Driver
Authentication and Accident Avoidance System for
Vehicles[Smart Computing Review, vol. 5, no. 1, February
2015]
[5] Babor, AUDIT: The alcohol use disorders identification
Test: Guidelines for use in primary health care. 1992,
Geneva, Switzerland: World Health Organization.

[6] Lee, Assessing the Feasibility of Vehicle-Based Sensors
To Detect Alcohol Impairment. 2010, National Highway
Traffic Safety Administration: Washington, DC.
[7] http://www.arduino.cc/
[8] A. ISuge, H.Takigawa, H.Osuga, H.Soma, K.Morisaki,
Accident Vehicle Automatic Detection System By Image
Processing Technology , ©IEEE 1994 Vehiclee Navigation
& information Systems Conference
[9] Paul Baskett , Yi Shang , Michael V. Patterson , Timothy
Trull , Towards A System for Body-Area Sensing and
Detection of Alcohol Craving and Mood Dvsregulation , ©
2013 IEEE.

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