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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 11, ISSUE 5, MAY 2022

Human - Drivers Drowsiness Detection System

Vishnu Dinesh, Arun Prakash, Amal Dasan, Poojitha Reddy, Mr. Mohammed Zabeeulla

DOI: 10.17148/IJARCCE.2022.115157

Abstract: Nowadays, more and more professions require long-term concentration. Drivers must keep a close eye on the road, so they can react to sudden events immediately. Driver fatigue often becomes a direct cause of many traffic accidents. Therefore, there is a need to develop the systems that will detect and notify a driver of her/him bad psychophysical condition, which could significantly reduce the number of fatigue-related car accidents. However, the development of such systems encounters many difficulties related to fast and proper recognition of a driver’s fatigue symptoms. One of the technical possibilities to implement driver drowsiness detection systems is to use the vision-based approach. Here we are detecting the driver's drowsiness by estimating the vision system.

Keywords: car accident, drowsiness, recognition.

How to Cite:

[1] Vishnu Dinesh, Arun Prakash, Amal Dasan, Poojitha Reddy, Mr. Mohammed Zabeeulla, “Human - Drivers Drowsiness Detection System,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2022.115157