The The IoT Based Health Monitoring with Alcohol Detection And Control System
Accidents caused due to drunken drive are increasing tremendously in this modern world. To prevent these kinds of accidents, we propose an IoT based health monitoring system with alcohol detection and control. The proposed project is designed to reduce accidents caused due to drunken driving. Globally the cases of accidents are increasing due to this aspect. In order to prevent these accident cases, in this project an IoT based method has been designed. In that Arduino, Alcohol Sensor, Heart beat rate sensor, Global System for Mobile communication, Wi-Fi modem, are utilized. Once the alcohol rate and heart beat rate are exceeding the specified limit, the command will be given to the ignition system of the vehicle to stop the operation of the vehicle.
.Mugila.G, Muthulakshmi.M, Santhiya.K, Prof.Dhivya.P- smart helmet system using alcoholdetection for vehicle protection International Journal of Innovative Research in Science Engineering and Technology, ISSN: 2395-5619, Volume – 2, Issue – 7, July 2016,820-827.
.PavanShukla,Utkarsh Srivastava, Sridhar Singh,Rishabh Tripathi, Rakesh Raushan -Automatic Engine Locking System Through Alcohol Detection.International Journal of Engineering Research&Technology,ISSN: 2278-0181,Vol. 9 Issue 05,May-2020,637 – 640.
.Pramod.P.Gadekar, DivyaPrashad, RutikaSabale, Gauri Gagare, Manisha Jori, Priyanka Dethe -Alcohol Detection System Using Arduino,ISSN:2395-4396 Vol-6 Issue-4, 2020,52 - 58.
.Viswanatha V, Venkata Siva Reddy R, Ashwini Kumari P, Pradeep Kumar S. Internet of Things(IoT) Based Multilevel Drunken Driving Detection and Prevention System Using Raspberry Pi 3. International Journal of Computer Science and Information Security, Vol. 18, No. 3, March 2020,131-137.
.S.Diwakaran, M.Venkata Rahul, P .Naveen Gandhi P. Kranthikumar Reddy, P.Lakshmi Narayana.Android based alcohol detection system using an IoT, ISSN: 2320- 2882, Volume 9 Issue 5, May 2021, 108 -112.
.Gupta, Abhishek, Shriram Ojha, Vikash Kumar, Vikrant Singh, Vipin Malav, and RamnagariyaGramothan. Alcohol Detection with Vehicle Controlling. International Journal of Engineering and Management Research 6 (2016),1-6.
.Goswami, Tanmoy D., Shrinivas R. Zanwar, and Zafar Ul Hasan. Android based rush and drunk driver alerting system. International Journal of Engineering Research and applications, Page (s) (2014),1 to 4.
. J. Dai, J. Teng, X. Bai, Z. Shen and D. Xuan, "Mobile phone based drunk driving detection," 2010 4th International Conference on Pervasive Computing Technologies for Healthcare, 2010,1-8.
.Piyush Vinay Phalak, Shashank Kowekar and Shruti Joshi, Department Of Computer Engineering, Vishwakarma Instititute of Information Technology Pune, Savitribai Phule University, Pune, India. Smartphone and Sensor Based Drunk Driving Prevention System. international journal for research in emerging science and technology, volume-2, issue-9, sep-2015,53 to 58.
.Dwipjoy Sarkar, Atanu Chowdhury, A Real Time Embedded System Application for Driver Drowsiness and Alcoholic Intoxication Detection ,International Journal of Engineering Trends and Technology – Volume 10 Number 9 - Apr 2014, 461 to 465.
.M.Dhivya, Srinivasan, Kathiravan. . Driver Authentication and Accident-Avoidance System for Vehicles. The Smart Computing Review. 10.6029/smartcr. doi 2015.01.04,1-7.
.S. Parameswaran, P. Anusuya, M. Dhivya, A. Harshiya Banu, D. Naveen Kumar, 2016, Automatic Vehicle Accident Detection and Messaging System, international journal of engineering research & technology cocodantr – 2016 (Volume 4 – Issue 11), 1 to 3.
.P.Baskett, Yi Shang,M. V. Patterson and T. Trull, Towards a system for body-area sensing and detection of alcohol craving and mood dysregulation,2013 IEEE 10th Consumer Communications and Networking Conference , 2013, 875-
Copyright (c) 2023 International Journal of Engineering and Computer Science

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.