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{"references": ["Vaishnavi, M., Umadevi, V., Vinothini, M., Rao, Y. B., & Pavithra, S. (2014). Intelligent alcohol detection system for car. International Journal of Scientific & Engineering Research, 5(11), 598-601.", "Navarro, L. A., Di\u00f1o, M. A., Joson, E., Anacan, R., & Cruz, R. D. (2016, January). Design of alcohol detection system for car users thru iris recognition pattern using wavelet transform. In 2016 7th International Conference on Intelligent Systems, Modelling and Simulation (ISMS) (pp. 15-19). IEEE.", "Chou, S. P., Grant, B. F., Dawson, D. A., Stinson, F. S., Saha, T., & Pickering, R. P. (2006). Twelve-Month Prevalence and Changes in Driving After Drinking: United States, 1991\u20131992 and 2001\u20132002. Alcohol Research & Health, 29(2), 143", "E Elder, R. W., Shults, R. A., Sleet, D. A., Nichols, J. L., Zaza, S., & Thompson, R. S. (2002). Effectiveness of sobriety checkpoints for reducing alcohol-involved crashes. Traffic Injury Prevention, 3(4), 266-274", "Farmer, C. M. (2005). Relationships of frontal offset crash test results to real-world driver fatality rates. Traffic injury prevention, 6(1), 31-37.", "Ferguson, S.A. (1999). Consumer demand. North Vancouver, British Columbia, Canada: Insurance Corporation of British Columbia (ICBC).Recovery 10:11-13.", "Ferguson, S. A., & Schneider, L. W. (2008). An overview of frontal air bag performance with changes in frontal crash-test requirements: findings of the Blue Ribbon Panel for the evaluation of advanced technology air bags. Traffic injury prevention, 9(5), 421-431.", "Insurance Institute for Highway Safety. 2008.Q&As. Alcohol:General. Arlington, VA.", "Kahane, C. J. (1994). Correlation of NCAP performance with fatality risk in actual head-on collisions.", "Jain, A. K. (2005, September). Biometric recognition: how do I know who you are?. In International Conference on Image Analysis and Processing (pp. 19-26). Springer, Berlin, Heidelberg."]}
The purpose of this project is to prevent the vehicle accidents by using an alcohol detector in an effort to reduce traffic accident cases based on driving under the influence of alcohol. This project is developed by integrating the alcohol sensor with the microcontroller. The alcohol sensor used in this project is MQ-3 which is used to detect the alcohol content in human breath. The alcohol content level in blood is detected by the alcohol sensor from the human breath. The ignition system of the vehicle is operated based on this level thus providing as a safeguard against drunken driving.
Alcohol detector, microcontroller, vehicle controlling
Alcohol detector, microcontroller, vehicle controlling
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