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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM23921

ENHANCEMENT OF PASSENGER SAFETY SYSTEM BY EXTRACTION OF TOXIC GASES FROM CAR CABIN

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM23921

Volume:

7 |

6 |

Jun 2023

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
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Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

M

Mr.G.PRABHU

MS

Mr.K.Gijendran Shivan

MK

Mr.P.Praveen Kumar

SB

S.Kavi Barathi

MK

Mr.S.Sanjeev Kumar

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Abstract

This paper presents a solution to the growing concern of high concentrations of volatile organic compounds (VOCs) inside vehicle cabins, which pose various health risks to individuals. As individuals spend a significant amount of time in vehicle conditions, they are continuously exposed to a variety of airborne chemicals. The emission of VOCs increases with temperature, but not directly for each mixture, making it a challenging problem to address. To address this issue, a fully automatic system is proposed, consisting of a gas sensor that measures the VOC levels inside the vehicle cabin and compares them with pre-programmed exposure standards in an Arduino processor. If the VOC levels exceed the standard, the Arduino signal activates the power window motor and AC fan simultaneously, rapidly extracting the harmful VOCs present in the cabin. By implementing this system, individuals can minimize their exposure to harmful chemicals while commuting, improving their overall health and well-being.

KEYWORDS

MQ-138 gas sensor Volatile Organic Compound Cabin Environment Material Emission Air Pollution Health Risk Assessment

Cite This Article

Mr.G.PRABHU, Mr.K.Gijendran Shivan, Mr.P.Praveen Kumar, S.Kavi Barathi, Mr.S.Sanjeev Kumar, "ENHANCEMENT OF PASSENGER SAFETY SYSTEM BY EXTRACTION OF TOXIC GASES FROM CAR CABIN," International Journal of Scientific Research in Engineering and Management, vol. 7, no. 6, Jun 2023. https://doi.org/10.55041/IJSREM23921

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Publication Date

6/23/2023

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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