Alcohol Detection for Automobiles

Year : 2024 | Volume :11 | Issue : 01 | Page : 18-25
By

Neha Vaishnav

Naresh Swami

Siddhi Saini

Himani Agarwal

Pulkit Saini

Harshwardhan Singh

Ishika Jain

Abhishek Singh

  1. Student Electrical Engineering, Poornima College of Engineering, Jaipur Rajasthan India
  2. Student Electrical Engineering, Poornima College of Engineering, Jaipur Rajasthan India
  3. Student Electrical Engineering, Poornima College of Engineering, Jaipur Rajasthan India
  4. Student Electrical Engineering, Poornima College of Engineering, Jaipur Rajasthan India
  5. Student Electrical Engineering, Poornima College of Engineering, Jaipur Rajasthan India
  6. Student Electrical Engineering, Poornima College of Engineering, Jaipur Rajasthan India
  7. Student Electrical Engineering, Poornima College of Engineering, Jaipur Rajasthan India
  8. Associate Professor Electrical Engineering, Poornima College of Engineering, Jaipur Rajasthan India

Abstract

The Alcohol Detection Device Project aims to create an alcohol detection device that can accurately measure the alcohol concentration in a driver’s blood while operating a vehicle. Alcohol-impaired driving poses a significant threat to road safety worldwide. The device aims to enhance road safety, reduce accidents, and save lives. Public Health Impact by promoting responsible driving habits, the device contributes to public health by minimizing the negative consequences of alcohol-related accidents. National Security and Productivity by decreasing the incidence of alcohol-related accidents enhances national security and productivity by reducing the economic burden associated with such incidents. In conclusion, the integration of an advanced alcohol detection device, utilizing equipment like the MQ-3 sensor, has the potential to transform road safety practices, save lives, and create a more responsible driving culture. By leveraging technological advancements to tackle the pressing issue of drunk driving, this innovation can bring about significant benefits for individuals, communities, and countries on a broader scale. This research document delves into the utilization of the MQ-3 alcohol detection tool at the side of synthetic intelligence for real-time monitoring of alcohol stages in drivers at the same time as driving. With a focus on enhancing street protection and mitigating dangers related to inebriated using, the look at explores the combination of advanced sensor era and AI algorithms in vehicles.

Keywords: Alcohol detection, IoT, MQ3 Sensors, Voltage

[This article belongs to Journal of Automobile Engineering and Applications(joaea)]

How to cite this article: Neha Vaishnav, Naresh Swami, Siddhi Saini, Himani Agarwal, Pulkit Saini, Harshwardhan Singh, Ishika Jain, Abhishek Singh. Alcohol Detection for Automobiles. Journal of Automobile Engineering and Applications. 2024; 11(01):18-25.
How to cite this URL: Neha Vaishnav, Naresh Swami, Siddhi Saini, Himani Agarwal, Pulkit Saini, Harshwardhan Singh, Ishika Jain, Abhishek Singh. Alcohol Detection for Automobiles. Journal of Automobile Engineering and Applications. 2024; 11(01):18-25. Available from: https://journals.stmjournals.com/joaea/article=2024/view=147995




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Regular Issue Subscription Original Research
Volume 11
Issue 01
Received April 15, 2024
Accepted April 20, 2024
Published May 28, 2024