Survey Paper | Computer Science & Engineering | India | Volume 6 Issue 11, November 2017
Driver Drowsiness Detection Techniques: A Survey
Shivani Junawane | Shital Jagtap | Prajakta Deshpande | Laveena Soni
Abstract: In todays world there are many driver assistance systems in existence. These systems include devices like GPS, music system, bluetooth calling through car speakers, etc. Although these systems add up to the drivers satisfaction, they also are at times responsible for his / her distraction. These distractions cause major chunk of the road accidents. Also, driver drowsiness / sleepiness is also considered as one of the major reason for fatal road accidents. In this paper we try to address this issue by surveying various techniques / methods to detect the drowsy state of driver. We have compared the features of these methods depending on their cost effectiveness and accuracy.
Keywords: Image processing, Computer Vision, Face detection, Region of Interest, Landmark detection, Eye-Aspect-ratio, Haar-Cascade classifier, PERCLOS
Edition: Volume 6 Issue 11, November 2017,
Pages: 1020 - 1022
How to Cite this Article?
Shivani Junawane, Shital Jagtap, Prajakta Deshpande, Laveena Soni, "Driver Drowsiness Detection Techniques: A Survey", International Journal of Science and Research (IJSR), https://www.ijsr.net/get_abstract.php?paper_id=ART20178073, Volume 6 Issue 11, November 2017, 1020 - 1022, #ijsrnet
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