Driver Drowsiness Detection by Using Deeplearning

• Author(s): Kurupati Praveen Kumar ; M Venkata Priyanka ; Lavanya B ; Navyashree C M ; Kammala Harsha Vardhan
• Paper ID: 1704574
• Page: 35-38
• Published Date: 03-06-2023
• Published In: Iconic Research And Engineering Journals
• Publisher: IRE Journals
• e-ISSN: 2456-8880
• Volume/Issue: Volume 6 Issue 12 June-2023

Abstract

A driver drowsiness detection system is an intelligent device created to spot and warn drivers when they start to nod off or fall asleep behind the wheel. To monitor the driver's behaviour and identify indicators of weariness, such as eye closing, head nodding, and changes in driving behaviour, the system employs a variety of sensors and algorithms. The system warns the driver via visual, aural, or tactile cues as soon as it notices these symptoms, advising them to take a break or switch drivers. This method aims to increase overall road safety by lowering the likelihood of accidents brought on by sleepy driving. The goal of driver drowsiness detection systems is to lessen accidents brought on by drowsy driving, which is a major cause of traffic accidents all over the world. These technologies have the potential to save lives and increase road safety by warning drivers and encouraging them to take preventive action.

Citations

IRE Journals:
Kurupati Praveen Kumar , M Venkata Priyanka , Lavanya B , Navyashree C M , Kammala Harsha Vardhan "Driver Drowsiness Detection by Using Deeplearning" Iconic Research And Engineering Journals Volume 6 Issue 12 2023 Page 35-38

IEEE:
Kurupati Praveen Kumar , M Venkata Priyanka , Lavanya B , Navyashree C M , Kammala Harsha Vardhan "Driver Drowsiness Detection by Using Deeplearning" Iconic Research And Engineering Journals, 6(12)