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Title: :  Real-Time Nonintrusive Monitoring And Prediction Of Driver Fatigue
PaperId: :  1773
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 2 Issue 2 2016
DUI:    16.0415/IJARIIE-1773
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Nandhini.S.KR.M.K College of Engineering and Technology
Hema Pavithra.SR.M.K College of Engineering and Technology
Hemalatha.DR.M.K College of Engineering and Technology
Keerthana.RR.M.K College of Engineering and Technology
Aarthi K.J. VeronicaR.M.K College of Engineering and Technology

Abstract

Electronics and Communication Engineering
Viola Jones algorithm, skin color face detection method, Ultrasonic sensor, BP sensor.
Passively monitoring a driver’s activities constitutes the basis of an automobile safety system that can potentially reduce the number of accidents by estimating the driver’s focus of attention. In this project a complete accident avoidance system is proposed by determining the driver’s behavior. As the main causes of vehicle accident were related to human factors, they could be labeled in one of the main driver’s distraction categories such as drowsiness, yawning and distracted vision. The main causes of the traffic accidents, discovered in the analysis of the driver behavior with the help of our system, will be used for the development of assistant devices and alarm systems that could help the driver to avoid risky situations. In this project we are implementing two image processing tool to get the facial geometry based on Viola Jones algorithm and skin color face detection method combined tracking. Frequencies of eye blinking and eye closure are used as the indication of sleepy and warning sign is then generated for recommendation, secondly outside an ego vehicle, road traffic is also analyzed. BP sensor is introduce to check the heart-beat of the driver, if any variation occurs in heart beating stop the car. Ultrasonic sensor is used to measure distance in front of cars. Break failure also detected.

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IJARIIE Nandhini.S.K, Hema Pavithra.S, Hemalatha.D, Keerthana.R, and Aarthi K.J. Veronica. "Real-Time Nonintrusive Monitoring And Prediction Of Driver Fatigue" International Journal Of Advance Research And Innovative Ideas In Education Volume 2 Issue 2 2016 Page 407-414
MLA Nandhini.S.K, Hema Pavithra.S, Hemalatha.D, Keerthana.R, and Aarthi K.J. Veronica. "Real-Time Nonintrusive Monitoring And Prediction Of Driver Fatigue." International Journal Of Advance Research And Innovative Ideas In Education 2.2(2016) : 407-414.
APA Nandhini.S.K, Hema Pavithra.S, Hemalatha.D, Keerthana.R, & Aarthi K.J. Veronica. (2016). Real-Time Nonintrusive Monitoring And Prediction Of Driver Fatigue. International Journal Of Advance Research And Innovative Ideas In Education, 2(2), 407-414.
Chicago Nandhini.S.K, Hema Pavithra.S, Hemalatha.D, Keerthana.R, and Aarthi K.J. Veronica. "Real-Time Nonintrusive Monitoring And Prediction Of Driver Fatigue." International Journal Of Advance Research And Innovative Ideas In Education 2, no. 2 (2016) : 407-414.
Oxford Nandhini.S.K, Hema Pavithra.S, Hemalatha.D, Keerthana.R, and Aarthi K.J. Veronica. 'Real-Time Nonintrusive Monitoring And Prediction Of Driver Fatigue', International Journal Of Advance Research And Innovative Ideas In Education, vol. 2, no. 2, 2016, p. 407-414. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Real_Time_Nonintrusive_Monitoring_And_Prediction_Of_Driver_Fatigue_ijariie1773.pdf (Accessed : 25 August 2016).
Harvard Nandhini.S.K, Hema Pavithra.S, Hemalatha.D, Keerthana.R, and Aarthi K.J. Veronica. (2016) 'Real-Time Nonintrusive Monitoring And Prediction Of Driver Fatigue', International Journal Of Advance Research And Innovative Ideas In Education, 2(2), pp. 407-414IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Real_Time_Nonintrusive_Monitoring_And_Prediction_Of_Driver_Fatigue_ijariie1773.pdf (Accessed : 25 August 2016)
IEEE Nandhini.S.K, Hema Pavithra.S, Hemalatha.D, Keerthana.R, and Aarthi K.J. Veronica, "Real-Time Nonintrusive Monitoring And Prediction Of Driver Fatigue," International Journal Of Advance Research And Innovative Ideas In Education, vol. 2, no. 2, pp. 407-414, Mar-App 2016. [Online]. Available: https://ijariie.com/AdminUploadPdf/Real_Time_Nonintrusive_Monitoring_And_Prediction_Of_Driver_Fatigue_ijariie1773.pdf [Accessed : 25 August 2016].
Turabian Nandhini.S.K, Hema Pavithra.S, Hemalatha.D, Keerthana.R, and Aarthi K.J. Veronica. "Real-Time Nonintrusive Monitoring And Prediction Of Driver Fatigue." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 2 number 2 (25 August 2016).
Vancouver Nandhini.S.K, Hema Pavithra.S, Hemalatha.D, Keerthana.R, and Aarthi K.J. Veronica. Real-Time Nonintrusive Monitoring And Prediction Of Driver Fatigue. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2016 [Cited : 25 August 2016]; 2(2) : 407-414. Available from: https://ijariie.com/AdminUploadPdf/Real_Time_Nonintrusive_Monitoring_And_Prediction_Of_Driver_Fatigue_ijariie1773.pdf
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