Real-Time Driver Drowsiness Detection And Email Alert System Using CV

K.Rohitha , D.Venkateswarlu , K.Greeshma , T.Yakshitha

This paper introduces a novel approach to real-time driver drowsiness detection and email alert systems, highlighting its innovative fusion of cutting-edge technology with practical safety applications. By leveraging advancements in computer vision technology and utilizing scientific Python libraries such as OpenCV, this project offers a robust solution for continuously monitoring a driver's facial expressions and eye movements while navigating roadways. Through real-time image processing, the system can effectively detect subtle indicators of drowsiness, such as heavy eyelids or prolonged eye closure, enabling timely intervention. One of the key features of this system is its ability to promptly notify drivers of their compromised state by sending email alerts. This proactive approach ensures that drivers are promptly made aware of their drowsiness, allowing them to take necessary precautions or rest breaks to mitigate potential risks. Furthermore, the system's capability to extend its reach beyond the individual driver by notifying fleet managers or family members adds an extra layer of safety and accountability. The integration of technology, data analysis, and communication underscores the comprehensive nature of this solution in enhancing driver safety on the roadways. By addressing drowsiness proactively, the system aims to mitigate the risks associated with fatigue-induced accidents, ultimately promoting safer driving practices and potentially saving lives. Overall, this project represents a significant step forward in leveraging technology to address critical safety concerns and improve road safety standards.

Published Paper   E-Certificate

"Real-Time Driver Drowsiness Detection And Email Alert System Using CV", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.9, Issue 5, page no.1033 - 1037, May-2024, Available :https://ijsdr.org/papers/IJSDR2405137.pdf

Volume 9 Issue 5, May-2024

Pages : 1033 - 1037

Paper Reg. ID: IJSDR_211095

Published Paper Id: IJSDR2405137

Downloads: 000347482

Research Area: Computer Science & Technology 

Country: Hyderabad, Telangana, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR2405137

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR2405137

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition