All the images used in my presentation are belonging to their respective owners. I do not own any copyright. ------------------------------------------------------------------------------------- >> My Third Year Engineering College Funded Mini-Project on, "Intelligent Detection of Toxic Gas Leakage and Alcohol Odour in Vehicles and Implementing Smart Ignition Control" >> Received a grant of ₹. 7500/- from the College Research Board >> Successfully completed the Prototype version and tested >> Presented this project on a research conference

1. INTELLIGENT DETECTION OF TOXIC GAS LEAKAGE
AND ALCOHOL ODOUR IN VEHICLES AND
IMPLEMENTING SMART IGNITION CONTROL
HARIHARAN K
UG SCHOLAR-ECE
SRI RAMAKRISHNA INSTITUTE OF TECHNOLOGY
COIMBATORE-641010

2. CONTENTS
Objective
Block Diagram
Components Used
Prototype Development
Methodology
Working
Real Time Implementation
Prototype Vs. Real Time
Conclusion

3. OBJECTIVE
To avoid vehicle accidents due to drunken state of driver
and emission of carbon monoxide gas leakage in vehicle
cabin
This model proposes a monitoring system and provides
alertness to the passengers in the vehicle as well as vehicle
owner

4. BLOCK DIAGRAM

5. COMPONENTS USED
1. Texas Instruments – CC3200 Microcontroller
2. MQ-3 Alcohol Sensor
3. MQ-7 Carbon Monoxide Sensor
4. Buzzer
5. SIM 900A GSM Module
6. GPS Module
7. Motor Driver

6. PROTOTYPE DEVELOPMENT
I. Interfacing all the components with CC 3200 – Programming in Energia IDE
II. Entire project consists of three Blocks,
I. Input Block
II. Controller Block
III. Output Block

7. METHODOLOGY
INPUT BLOCK CONTROLLER BLOCK OUTPUT BLOCK

8. WORKING
1.Process starts and sensor starts to monitor the gas values converts to equivalent electrical
voltages
2.When Sensor Value exceeds the Threshold Value, three stages of alert
3.First Level of Alert: Buzzer Alert to the Driver
4.Second Level of Alert: SMS will be sent to the driver along with Rear window control
5.Third Level of Alert: Ignition will be controlled and an SMS containing
◦ Location of the vehicle,
◦ Alcohol and CO Level

9. REAL TIME IMPLEMENTATION
- Real time implementation of the prototype version can be implemented in Cars,
- Sensors are placed in suitable positions
- Power source can be drawn from vehicle battery
-When Vehicle starts, sensor checks for gas leakage, if it is higher than threshold, First Level of
Alert happens
- If the driver stops the car, entire process stops, else after certain time delay Second Level of
Alert occurs along with rear window opening
- If the driver goes on driving, Third Level of Alert will be Implemented, which stops the vehicle
and location of the vehicle will be sent as SMS to the owner.

10. PROTOTYPE vs. REAL TIME
PARAMETERS PROTOTYPE
REAL TIME –
Car Model: Hyundai Santro XING
Power Supply External Power Supply Power from Car Battery
MQ-3 Sensor Position Both sensors are placed opposite to each
other
Placed in parallel to the Driver
MQ-7 Sensor Position Placed inside the car
First Level of Alert Buzzer Alert
Second Level of Alert SMS Alert to mobile phone
SMS to owner, Rear Window
Control using Relay Module
Third Level of Alert DC Motor stops, SMS sent to owner
SMS to owner, Car speed
decreases gradually
Speed Control Pulse to the motor driver is reduced
Speed Governor,
Flow sensor etc.,

11. CONCLUSION
- The aim of this Project is to avoid vehicle accidents, caused due to toxic gas leakage and
drunken driving.
-This project identifies the alcohol and CO gas during the initial stage of driving the vehicle using
MQ3 and MQ7 sensor. The sensor indication is used to derive the control signals for rear
window opening, alertness and to provide the vehicle status to vehicle owner.
- This Project can be implemented in four wheelers and other automobiles. By commercializing
the project and converting it into a product, we can reduce the cost of manufacturing.
- When it comes into market, the total cost would be Rs.5000 /- (Approximately).
- Further research work may be useful for implementing the Product in all automobile and we
can upgrade the Technology with Internet of Things (IoT)

12. REFERENCES
1. Nimmy James, Aparna C, Teena P John, “Alcohol Detection System”, International Journal of
Research in Computer and Communication Technology, Vol 3, Issue 1, January- 2014.
2. Sharukh khan & Shahabaz Khan, ”High Sensitive Alcohol Sensor with Auto Car Ignition Disable
Function” International Journal of Scientific & Engineering Research, Volume 4, Issue 10,
October-2013.
3. S.Rajeshwari, “Vehicle Ignition over Ride System Using Breath Analyzers for Preventing
Drunken Driving”, Middle-East Journal of Scientific Research 13 (12): 1559-1563, 2013 ISSN
1990-9233 © IDOSI Publications, 2013 DOI: 10.5829/idosi.mejsr.2013.13.12.1233.
4. M.K.MISHRA, S.Mohanraj, T.Yazhini, K.Vijayasri, R.Gomathi, “Fuzzy Based Model for Accident
Prevent System” International Journal of Scientific and Research Publications, Volume 3, Issue 3,
March 2013.
5. S.P. Bhumkar, V.V. Deotare, R.V.Babar,” Accident Avoidance and Detection on Highways”,
International Journal of Engineering Trends and Technology- Volume3Issue2- 2012.

13. ACKNOWLEDGEMENTS
1. Committee members of “SRIT-RESEARCH PROMOTION SCHEME” for selecting our
Project Proposal and providing a grant of Rs.7500/-(Rupees Seven Thousand Five Hundred) to
meet the expenses of our project.
2. Dr.M.Paulraj, Principal and Dr.H.Mangalam ,Head of the Department of Electronics and
Communication Engineering for their valuable support.
3.Mr.T.Joby Titus - Asst. Prof (Sr.Gr) and Mr.M.Pravin - Asst. Prof (Sr.Gr) for spending their
valuable time in guiding us and for his constant encouragement and motivation.
4.Final Thanks to Project Team – Harish B, Gopal N, Dhanasekaran D for their hard work
and sincere efforts for completing the proposal into a project.

14. QUERIES ?Thank You 