Alcohol Detection for Automobiles

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Year : May 28, 2024 at 10:57 am | [if 1553 equals=””] Volume :11 [else] Volume :11[/if 1553] | [if 424 equals=”Regular Issue”]Issue[/if 424][if 424 equals=”Special Issue”]Special Issue[/if 424] [if 424 equals=”Conference”][/if 424] : 01 | Page : 18-25

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Neha Vaishnav, Naresh Swami, Siddhi Saini, Himani Agarwal, Pulkit Saini, Harshwardhan Singh, Ishika Jain, Abhishek Singh

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  1. Student, Student, Student, Student, Student, Student, Student, Associate Professor Electrical Engineering, Poornima College of Engineering, Jaipur, Electrical Engineering, Poornima College of Engineering, Jaipur, Electrical Engineering, Poornima College of Engineering, Jaipur, Electrical Engineering, Poornima College of Engineering, Jaipur, Electrical Engineering, Poornima College of Engineering, Jaipur, Electrical Engineering, Poornima College of Engineering, Jaipur, Electrical Engineering, Poornima College of Engineering, Jaipur, Electrical Engineering, Poornima College of Engineering, Jaipur Rajasthan, Rajasthan, Rajasthan, Rajasthan, Rajasthan, Rajasthan, Rajasthan, Rajasthan India, India, India, India, India, India, India, India

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Abstract

nThe 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.

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Keywords: Alcohol detection, IoT, MQ3 Sensors, Voltage

n[if 424 equals=”Regular Issue”][This article belongs to Journal of Automobile Engineering and Applications(joaea)]

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[/if 424][if 424 equals=”Special Issue”][This article belongs to Special Issue under section in Journal of Automobile Engineering and Applications(joaea)][/if 424][if 424 equals=”Conference”]This article belongs to Conference [/if 424]

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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. May 28, 2024; 11(01):18-25.

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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. May 28, 2024; 11(01):18-25. Available from: https://journals.stmjournals.com/joaea/article=May 28, 2024/view=0

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References

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[if 424 not_equal=””]Regular Issue[else]Published[/if 424] Subscription Original Research

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Journal of Automobile Engineering and Applications

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[if 344 not_equal=””]ISSN: 2455-3360[/if 344]

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Volume 11
[if 424 equals=”Regular Issue”]Issue[/if 424][if 424 equals=”Special Issue”]Special Issue[/if 424] [if 424 equals=”Conference”][/if 424] 01
Received April 15, 2024
Accepted April 20, 2024
Published May 28, 2024

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