alcohol_detectio fl at GK at HK at hen.pptx

Alcohol detector will driving the car

1. Alcohol detection with automatic engine locking system presented by:- Batch .No: A-19 Md. Farhan - 22R21A04N8 P. Deleep Naidu - 22R21A04Q2 V. Anand - 22R21A04R2 MLR Institute of Technology Laxma Reddy Avenue, Dundigal , Quthbullapur (M), Hyderabad – 500 043 Phone Nos: 08418 – 204066 / 204088, Fax: 08418 – 204088

2. Presentation Outlines: Introduction Alcohol detection and auto engine locking Applications Literature survey Research gap Proposed Method Dataset & Model Setup & References

3. Introduction : Our aim is to reduce as many accidents which are caused due to drunk driving by installing the devise that detects alcohol from the driver and automatically locks the vehicle engine This not only ensures the safety of driver but also the safety of normal people and pedestrians. By implementation of this project we can reduce the occurrence of road accidents by drivers under the influence of alcohol. Our mission is to save as many as people from accidents due to drunk n drive.

4. Application: The Alcohol detection with engine locking system can be implemented in any 4- wheelers. The Alcohol detection with engine locking system can help prevent accidents due to drunk driving. The Alcohol detection with engine locking system prove automatic safety system for cars and other vehicles.

5. Literature survey: A. The writer has put forward a technique which utilizes GPS and GSM to ascertain alcohol but this technique is very expensive,but the expenses can be cut off to a great extent. In this project a siren is being used which is highly economical, and can keep people in close proximity vigilant. [1] B. Wearing smart helmet to prevent any mishap is suggested by writer which have certain deficiencies. Firstly restrictions on the use of helmets to only 2 wheelers. Secondly, microcontrollers are software based mega system in comparison to the economical siren that are open source hardware. [2] C. Composite health monitoring and sensors based on infrared are utilized to ascertain alcohol as talked about by writer but the chance of false alarm can't be avoided in this system, because minute change in some situations can result in false alarm but in our project use of required technology makes it more authentic. [3] D. To prevent the mishap of drunken driving writer have used PIC16F877A microcontroller which is an outdated system and expensive one also which restrains its use to only certain class of society whereas we are using Arduino and Uno microcontroller which is advanced as well as economical. [4] E. Worrying about the drunken driving the writer suggests the system to overcome the issue but using mQ2 alcohol sensor has come flames .MQ2 alcohol sensor is not authentic and raises the chance of false alarm while we have used MQ3 which is highly authentic. [5] Authors, Year and journal Title Limitations Dr. Pavan Shukla, 2016, ISMS Utilization of GPS and GSM for Alcohol Detection High cost of implementation, potential for expense reduction not discussed. Utkarsh Srivastava Smart Helmet for Mishap Prevention Limited to use on two-wheelers, complexity of microcontrollers not elaborated Sridhar Singh Limited to use on two-wheelers, complexity of microcontrollers not elaborated s. Risk of false alarms due to minute changes not addressed. , Rishabh Tripathi Use of PIC16F877A Microcontroller for Drunken Driving Prevention Outdated and expensive technology, restricts usage to certain socioeconomic classes. Rakesh Raushan Sharma Comparison between mQ2 and mQ3 Alcohol Sensors for Drunken Driving Prevention The mQ2 alcohol sensor is criticized for its lack of authenticity and potential for false alarms, while the proposed improvement involves using the more reliable and authentic mQ3 alcohol sensor

6. Research Gaps: Accuracy and Reliability : While existing alcohol detection systems show promising results, there is still room for improvement in terms of accuracy and reliability. False positives and false negatives can be a concern, especially in real-world scenarios where environmental factors may affect sensor performance. Integration with Vehicle Systems : Integrating alcohol detection systems with existing vehicle systems seamlessly is crucial for widespread adoption. Researchers are working on developing technologies that can easily integrate with a vehicle's ignition system without compromising safety or reliability. Cost-effectiveness : Cost is a significant factor in the adoption of any new technology, especially in the automotive industry. Developing alcohol detection systems that are cost-effective to manufacture and install in vehicles is essential for widespread adoption, particularly in low- and middle-income countries where road traffic accidents related to alcohol impairment are prevalent. User Acceptance and Privacy Concerns : User acceptance of alcohol detection and engine locking systems is critical for their success. Research is needed to understand drivers' attitudes towards these systems, addressing concerns related to privacy, autonomy, and perceived effectiveness.

7. PROPOSED METHOD

8. The Alcohol Detection with Engine Locking system helps to reduce accidents which are occurring due to drunk driving.MQ-3 sensor detects the presence of alcohol in the surrounding. The sensor provides output on the basis of the concentration of the alcohol, if the alcohol concentration is higher the conductivity of MQ-3 sensor increases which in turn gives the reading to ARDUINO If the reading is greater than the threshold level, ARDUINO will stop the DC motor. The red LED will also blink if the distance is less than the safe distance to give indication to other vehicles that the vehicle in front of them is unsafe. Now, with thehelp of SIM900A the message will be sent to the civil forces that the particular vehicle is unsafe and can be a threat to other people

9. ARDUINO UNO R3 Arduino Uno is micro-controller development board that works on Atmega-328P. The arduino results to numerous various functions like Microcontroller area unit, computer circuit unit. primarily little computers that will run tiny easy software package programs, the area unit are enough low steam-powered which can steam powered by various batteries for years however area unit ready to measure information much quicker than a person’s brain can method/suppose.

10. MQ-3 SENSOR The MQ-3 sensor is made of Tin Dioxide (SnO2) delicate year. It is sorted out in such a structure to give high affectability to liquor and low affectability to Benzene. It has an immediate drive circuit to give lively reaction, quality, and longer lifetime. It is having a clear interface type. On the sensor, port pins 1, 2 and 3 tends to the yield, GND and VCC independently. The particular of the sensor is depicted in table underneath.

11. Dataset and Model Setup Data Collection: Real-world Driving Data : Collect data from various sources, such as driving simulators, closed-course test tracks, and on-road driving studies, to capture a diverse range of driving scenarios. Alcohol Impairment Data : Gather data on alcohol impairment levels from controlled experiments where participants consume alcohol under controlled conditions. Sensor Data : Acquire data from alcohol detection sensors (e.g., breathalyzers, touch-based sensors, infrared sensors) to understand their performance characteristics and variability. Data Analysis and Evaluation: Performance Metrics : Define performance metrics such as sensitivity, specificity, false positive rate, and false negative rate to evaluate system performance. Statistical Analysis : Analyze data collected from experiments to assess the effectiveness of the alcohol detection and engine locking system in reducing the risk of alcohol-related accidents. User Feedback : Collect feedback from participants and stakeholders to identify usability issues, safety concerns, and areas for improvement.

12. References ] L. A. Navarro, M. A. Diño , E. Joson , R. Anacan and R. D. Cruz, "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 (ISMS), Bangkok, 2016, pp. 15-19. [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.