A new intelligent driver vigilance system design using tilt sensors

Ghazi Zahid, Ali Zuhair and Muttair, Karrar Shakir and Shareef, Oras Ahmed and Diwan, Abbas Ali and Taher, Hazeem Baqir and Alfilh, RaedHameed Chyad and Farhan, Ahmed Mahmood and Mosleh, Mahmood Farhan and Arith, Faiz (2025) A new intelligent driver vigilance system design using tilt sensors. KufaJournal of Engineering, 16 (1). pp. 26-42. ISSN 2071-5528

Text 0194124032025957441712.pdf Available under License Creative Commons Attribution. Download (1MB)

Abstract

A significant number of causes for people killed by automobile accidents on both public and interior roads are the driver's failure to pay attention to the roadway, as well as other factors such as tiredness, sleep during driving, using the phone, or even the driver being intoxicated, etc. This work aims to identify sleepy status, pinpoint the onset of sleep, and alert the driver when their level of alertness drops below a level that does not improve productivity or the vehicle's overall safety protocols to prevent drowsiness-related crashes. In this article, we present a new method for implementing drowsiness detection inexpensively, using a Raspberry Pi as a central processor board that connects all practical measurement components. In addition, the proposed method includes the following activities: tracking the driver's head vibration while driving using tilt sensors. Moreover, a camera was mounted in front of the driver to take photos and record videos of the driver's health. As a result, the results were entirely satisfactory, and if the driver was operating the vehicle while fatigued, the response was 95% reliable and fast.

Item Type:	Article
Uncontrolled Keywords:	Raspberry Pi, Tilt Sensor, Tilt Detection Techniques, NHTSA, USB Web Camera, Mini Piezo Buzzer, SD Card, Angles Tilt Algorithms, Driver Vigilance System.
Divisions:	Faculty Of Electronics And Computer Technology And Engineering
Depositing User:	Norfaradilla Idayu Ab. Ghafar
Date Deposited:	11 May 2026 02:09
Last Modified:	11 May 2026 02:09
URI:	http://eprints.utem.edu.my/id/eprint/29689
Statistic Details:	View Download Statistic

Actions (login required)

View Item