Alcohol Consumption Detection Using Smart Helmet System

Authors

  • K. Maheswari  M.E.,(Ph.D), Assistant Professor, Department of Computer Science and Engineering, School of Engineering, Avinashilingam Institute for Home Science and Higher Education for Women, (Deemed to be University) Coimbatore, Tamil Nadu, India
  • U. Madhumitha  UG Scholar, Department of Computer Science and Engineering, School of Engineering, Avinashilingam Institute for Home Science and Higher Education for Women, (Deemed to be University) Coimbatore, Tamil Nadu, India
  • S. Madhusurya  UG Scholar, Department of Computer Science and Engineering, School of Engineering, Avinashilingam Institute for Home Science and Higher Education for Women, (Deemed to be University) Coimbatore, Tamil Nadu, India
  • T. Divya  UG Scholar, Department of Computer Science and Engineering, School of Engineering, Avinashilingam Institute for Home Science and Higher Education for Women, (Deemed to be University) Coimbatore, Tamil Nadu, India

DOI:

https://doi.org//10.32628/IJSRSET207244

Keywords:

IoT, Edge Computing, Bayesian Network, Optimization and MQ Sensor.

Abstract

Internet of Things (IoT) consists of smart devices which can sense the environment and performs the data interaction with the users by handling the large volume of data and also provide the numerous services to the users. It also plays the significant role in Intelligent Transportation System (ITS) using the Cognition ability. One of the primary causes for the road accidents is consumption of alcohol. Driving under the influence (DUI) or Driving While Intoxicated (DWI), and involves operating a vehicle with Blood Alcohol Content (BAC) level of at least 0.08 percent is considered as the punishable offense. In order to identify and prevent the driving with alcohol consumption, the ITS system can be designed with IoT based smart helmet system. The IoT system performs the data validation using the Bayesian Algorithm which significantly detects the alcohol consumption of the rider. And the system also provides the provision to control and ride the bike if and only if the rider does not consume the alcohol.

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International Journal of Scientific Research in Science, Engineering and Technology

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Published

2020-04-30

Issue

Volume 7, Issue 2, March-April-2020

Section

Research Articles

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How to Cite

[1]
K. Maheswari, U. Madhumitha, S. Madhusurya, T. Divya, " Alcohol Consumption Detection Using Smart Helmet System, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 7, Issue 2, pp.167-173, March-April-2020. Available at doi : https://doi.org/10.32628/IJSRSET207244