Paper Title
Computer Vision-based Driver Safety Monitoring System
Article Identifiers
Authors
Raj Dugad , Aryan Dudul , Gayatri Gite , Shrinivas Hatyalikar , Akshata Gile
Keywords
Drowsiness Detection , Eye Aspect Ratio
Abstract
Nowadays, effective transportation is crucial for the growth of all imaginable enterprises, but it has also increased risk due to accidents and disasters. Statistics show that fatigued driving contributes to 2.4% of accidents. Consequently, a technique was developed to lessen accidents brought on by tired drivers. The device is cleverly built to warn the driver if they are detected to be asleep. The system was developed using 68 facial landmark detection algorithms in order to precisely measure the eye ratio and assess whether or not the driver was experiencing dizzy. If this is the case, the warning is played so the driver may get up and take the appropriate action.
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How To Cite (APA)
Raj Dugad, Aryan Dudul, Gayatri Gite, Shrinivas Hatyalikar, & Akshata Gile (May-2023). Computer Vision-based Driver Safety Monitoring System . INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(5), d684-d686. https://ijnrd.org/papers/IJNRD2305386.pdf
Issue
Volume 8 Issue 5, May-2023
Pages : d684-d686
Other Publication Details
Paper Reg. ID: IJNRD_195398
Published Paper Id: IJNRD2305386
Downloads: 000121988
Research Area: Computer EngineeringÂ
Country: Pune, Maharashtra, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2305386.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2305386
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Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)
ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016
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This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition
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