Driver Drowsiness Detection System Based on Eyes, Mouth and Head Tilt
Kusuma Kumari B.M1, Ramakanth Kumar .P2

1Dr. Kusuma Kumari B.M*, Department of Computer Science, University College of Science, Tumkur University, Tumakuru, India. Email:
2Dr. Ramakanth Kumar P, Department of Computer Science and Enginerring, R.V. College of Engineering, Bengaluru, India.
Manuscript received on February 10, 2020. | Revised Manuscript received on February 23, 2020. | Manuscript published on March 10, 2020. | PP: 505-511 | Volume-9 Issue-5, March 2020. | Retrieval Number: E2424039520/2020©BEIESP | DOI: 10.35940/ijitee.E2424.039520
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Abstract: The modernization of the automobile manufacturing automatically increases the number of automobiles on transportation way. Day by day with the quick increase in automobiles, the number of road accidents seems to be drastically increasing. In our daily life accidents are common phenomenon. In the Universe, yearly the accidents on road may cause fatal injuries, death and economic losses. Drowsiness of the driver may be one of the prime causes for accidents on the way and the driver is prone to a possible accident. So it is essential requirement to find the driver’s drowsiness to reduce the road accident rates. In this paper we proposed a system to find the driver drowsiness based on eye, mouth and head tilt. This system is helpful to monitor a driver’s observance level and warns him for a significant part in avoiding road mishaps. 
Keywords: Drowsiness, YCbCr, Eye Detection, Mouth Detection, Head Tilt.
Scope of the Article: Web-Based Learning Innovation and Challenges