ISSN 2394-5125
 

Research Article 


DRIVER DROWSINESS DETECTION USING CIRCULAR HOUGH TRANSFORM (CHT)

Dr. S. Rajeswari, Dr.C.Victoria Priscilla, Rukmini. R.

Abstract
Drowsiness is a human characteristic that is not taken seriously by any individual. But this particular
human feature can have grave and fatal consequences if not considered and acted upon especially on roads while driving.
Distracted driving is considered as main reason for road accidents. Monitoring the driverís activities constitutes the
safety of the automobile that reduce the number of accidents. The aim of this system is to help in analyzing the factors
associated with driverís behavior for the development of Drivers Drowsiness Detection systems. This article employs
Image Acquisition toolbox to capture live video and Snapshot function is to frame conversion. Computer Vision Tool is
used to recognize the feature in the face. Finally, Circular Hough Transform algorithm is applied to detect the eyeball to
find the drowsiness. An alert will be given to the driver after the drowsiness detection. The algorithm provides 99% of
accuracy rate in eye closure detection. The experimental results show that the methodology outperforms efficiently.

Key words: Drowsiness, Face Detection, Circular Hough Transform, Eyeball Detection.


 
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How to Cite this Article
Pubmed Style

DSR, DP, R R. DRIVER DROWSINESS DETECTION USING CIRCULAR HOUGH TRANSFORM (CHT). JCR. 2020; 7(3): 959-965. doi:10.31838/jcr.07.03.165


Web Style

DSR, DP, R R. DRIVER DROWSINESS DETECTION USING CIRCULAR HOUGH TRANSFORM (CHT). http://www.jcreview.com/?mno=99440 [Access: April 10, 2021]. doi:10.31838/jcr.07.03.165


AMA (American Medical Association) Style

DSR, DP, R R. DRIVER DROWSINESS DETECTION USING CIRCULAR HOUGH TRANSFORM (CHT). JCR. 2020; 7(3): 959-965. doi:10.31838/jcr.07.03.165



Vancouver/ICMJE Style

DSR, DP, R R. DRIVER DROWSINESS DETECTION USING CIRCULAR HOUGH TRANSFORM (CHT). JCR. (2020), [cited April 10, 2021]; 7(3): 959-965. doi:10.31838/jcr.07.03.165



Harvard Style

, D. S. R., , . D. P. & R, . R. (2020) DRIVER DROWSINESS DETECTION USING CIRCULAR HOUGH TRANSFORM (CHT). JCR, 7 (3), 959-965. doi:10.31838/jcr.07.03.165



Turabian Style

, Dr. S. Rajeswari, Dr.C.Victoria Priscilla, and Rukmini. R. 2020. DRIVER DROWSINESS DETECTION USING CIRCULAR HOUGH TRANSFORM (CHT). Journal of Critical Reviews, 7 (3), 959-965. doi:10.31838/jcr.07.03.165



Chicago Style

, Dr. S. Rajeswari, Dr.C.Victoria Priscilla, and Rukmini. R. "DRIVER DROWSINESS DETECTION USING CIRCULAR HOUGH TRANSFORM (CHT)." Journal of Critical Reviews 7 (2020), 959-965. doi:10.31838/jcr.07.03.165



MLA (The Modern Language Association) Style

, Dr. S. Rajeswari, Dr.C.Victoria Priscilla, and Rukmini. R. "DRIVER DROWSINESS DETECTION USING CIRCULAR HOUGH TRANSFORM (CHT)." Journal of Critical Reviews 7.3 (2020), 959-965. Print. doi:10.31838/jcr.07.03.165



APA (American Psychological Association) Style

, D. S. R., , . D. P. & R, . R. (2020) DRIVER DROWSINESS DETECTION USING CIRCULAR HOUGH TRANSFORM (CHT). Journal of Critical Reviews, 7 (3), 959-965. doi:10.31838/jcr.07.03.165