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Article Details

Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

Multistage End-to-End Driver Drowsiness Alerting System

Author 1: Sowmyashree P
Author 2: Sangeetha J

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Digital Object Identifier (DOI) : 10.14569/IJACSA.2023.0140452

Article Published in International Journal of Advanced Computer Science and Applications(IJACSA), Volume 14 Issue 4, 2023.

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Abstract: Drowsiness in drivers is the major cause for these fatal road accidents. Hence detecting drowsiness in drivers and alerting them on time is very important to avoid accidents. Researchers have developed several techniques to detect drowsiness in driver and warn the driver. However, in the past there is no work done towards the end-to-end driver drowsiness alerting system. Therefore, in this proposed system, it will ensure that the driver is awake through its end-to-end multi-stage (i.e., three stage) alerting system. The proposed system, at first performs driver authentication. Next, it detects the driver’s face and also checks whether he/she has consumed alcohol or not, in either case the car engine will not start, and a warning mail is sent. Then the system performs drowsiness detection. If the driver is found drowsy then a multi-stage alerting system (i.e., voice alert, seat vibration alert and physical alert) is performed to wake him/her. After the voice alert, the driver has to give his/her fingerprint as proof for not being drowsy. If the system fails to get a fingerprint it starts the vibration alert. Once again system asks for driver’s fingerprint, without which the system starts physical alert through robot arm which is performed with three different frequencies (i.e., Low, Medium and High) and three questions are asked after each frequency to make sure the driver is alert. In the process, it creates a log file which contains the driver’s drowsiness details, after analyzing which it gives rating to the driver and mail this rating to the concerned person. This rating can be used to choose the driver for a safe and comfortable journey. Thus, the system ensures that driver is alert and avoids road accidents.

Keywords: Driver drowsiness detection; internet of things; voice alert; seat-vibration alert; physical alert; driver rating; haar cascade classifier; eye aspect ratio

Sowmyashree P and Sangeetha J, “Multistage End-to-End Driver Drowsiness Alerting System” International Journal of Advanced Computer Science and Applications(IJACSA), 14(4), 2023. http://dx.doi.org/10.14569/IJACSA.2023.0140452

@article{P2023,
title = {Multistage End-to-End Driver Drowsiness Alerting System},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2023.0140452},
url = {http://dx.doi.org/10.14569/IJACSA.2023.0140452},
year = {2023},
publisher = {The Science and Information Organization},
volume = {14},
number = {4},
author = {Sowmyashree P and Sangeetha J}
}


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