Drunken driving detection using IoT

Author(s)	Dhyey Thakkar, Amay Patel, Vrushabh Ambadkar, Atharva Adsul, Manikrao Laxmanro Dhore
Country	India
Abstract	The Internet of Things (IoT) refers to a network of interconnected devices equipped with sensors and communication capabilities. This paper proposes an IoT-based model aimed at enhancing road safety by detecting drunk or drowsy drivers, especially during nighttime hours. The model incorporates analysis of alcohol concentration levels, eye-blinking rates, and pulse rate to identify potentially impaired drivers. Upon detection, countermeasures such as reducing vehicle speed, triggering alarms, notifying traffic authorities, or engaging autopilot functions could be initiated to mitigate risks and prevent accidents. The paper examines existing models and aims to synthesize effective ideas while addressing implementation challenges.
Keywords	drunk;,driving, sensor;,driver monitering
Field	Computer > Data / Information
Published In	Volume 6, Issue 6, November-December 2024
Published On	2024-12-10
Cite This	Drunken driving detection using IoT - Dhyey Thakkar, Amay Patel, Vrushabh Ambadkar, Atharva Adsul, Manikrao Laxmanro Dhore - IJFMR Volume 6, Issue 6, November-December 2024. DOI 10.36948/ijfmr.2024.v06i06.32360
DOI	https://doi.org/10.36948/ijfmr.2024.v06i06.32360
Short DOI	https://doi.org/g8vgj4

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