Drowsy Driving Detection System Using Face Detection-Reference-Cited by-同舟云学术

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Drowsy Driving Detection System Using Face Detection

Published:2023-11-01 Issue: Volume: Page:
ISSN:
Container-title:2023 3rd International Conference on Technological Advancements in Computational Sciences (ICTACS)
language:
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Author:

Mirabdullayev Ismoiljon¹,Ahamed Ayoobkhan Mohamed Uvaze¹,Jasmine Hashana A.M.²,Khan Subair Ali Liayakath Ali³

Affiliation:

1. Software Engineering, New Uzbekistan University,Tashkent,Uzbekistan

2. Computer Science and Engineering, Francis Xavier Engineering College,Tirunelveli,India

3. School of Information Technology, Digital Media and Mass Communication, TMC Institute in Tashkent,Tashkent,Uzbekistan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10389811/10389819/10390069.pdf?arnumber=10390069

Reference32 articles.

1. Interior Ministry provides data on the number of traffic accident victims in Uzbekistan in 2021;Uz,2022

2. Drowsy Driving 2021 Facts & Statistics;Elizabeth,2022

3. Driving While Drowsy Can Be as Dangerous As Driving While Drunk;Danielle,2023

4. The Dangers of Drowsiness Detection: Differential Performance, Downstream Impact, and Misuses

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. 3D-CNN Method for Drowsy Driving Detection Based on Driving Pattern Recognition;Electronics;2024-08-26

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