Real Time ‘Driver Drowsiness’ & Monitoring & Detection Techniques
Divyanshu Tyagi1, Drishti Sharma2, Rishabh Singh3, Kaushal Kishor4
1Divyanshu Tyagi, Department of Information Technology, ABES Institute of Technology, Ghaziabad, India.
2Drishti Sharma, Department of Information Technology, ABES Institute of Technology, Ghaziabad, India.
3Rishabh Singh, Department of Information Technology, ABES Institute of Technology, Ghaziabad, India.
4Dr. Kaushal Kishor, Department of Information Technology ABES Institute of Technology, Ghaziabad, India.
Manuscript received on May 06, 2020. | Revised Manuscript received on May 15, 2020. | Manuscript published on June 10, 2020. | PP: 280-284 | Volume-9 Issue-8, June 2020. | Retrieval Number: 100.1/ijitee.H6273069820 | DOI: 10.35940/ijitee.H6273.069820
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: World has seen many of the accidents occur due to driver’s fatigue and a small scale distraction factor while driving the vehicle. Number of accidents has been increasing day-by-day during driving due to driver drowsiness playing as an implicating factor in many accidents. Goal of this thesis is to reduce these accidents and maintenance of transportation safety. The system are design such that it will precisely scrutiny the eye blink. Dissimilarity covering the eye will differ as per eye blink. If out-turn is high the eye is closed or else out-turn is low. It shows close or open area of the eye.
Keywords: Driver drowsiness detection, Transportation safety, Driver’s fatigue, Eye blink
Scope of the Article: Transportation Engineering