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Title: :  Driver Drowsiness Detection using Raspberry Pi
PaperId: :  17029
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 8 Issue 3 2022
DUI:    16.0415/IJARIIE-17029
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Akash Sanjay SherkarSVIT NASHIK
Dhananjay Uttam UgaleSVIT NASHIK
Akshay Somanath SonawaneSVIT NASHIK
Dipak Vishnu Daigavhane SVIT NASHIK
Prof.Pravin M. TambeSVIT NASHIK

Abstract

Computer Engineering
Python, IOT
The proposed system aims to lessen the number of accidents that occur due to drivers’ drowsiness and fatigue, which will in turn increase transportation safety. This is becoming a common reason for accidents in recent times. In this, the driver is continuously monitored through webcam. This model uses image processing techniques which mainly focuses on face and eyes of the driver. Raspberry-pi processor is used for image processing. Image processing techniques such as Haar3-cascade frontal face and Face landmark shake predictor are used for acquiring details of given eye object and further processing. This proposed system is used for Driver Road safety system. In this system webcam capture driver face image. Then, face detection is employed to locate the regions of the driver’s eyes, which are used as the templates for eye tracking in subsequent frames. The tracked eye’s images are used for drowsiness detection in order to generate warning alarms. The proposed approach has three phases: Face, Eye detection and drowsiness detection. The role of image processing is to recognize the face of the driver and then extracts the image of the eyes of the driver for detection of drowsiness.

Citations

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IJARIIE Akash Sanjay Sherkar, Dhananjay Uttam Ugale, Akshay Somanath Sonawane, Dipak Vishnu Daigavhane , and Prof.Pravin M. Tambe. "Driver Drowsiness Detection using Raspberry Pi" International Journal Of Advance Research And Innovative Ideas In Education Volume 8 Issue 3 2022 Page 2481-2488
MLA Akash Sanjay Sherkar, Dhananjay Uttam Ugale, Akshay Somanath Sonawane, Dipak Vishnu Daigavhane , and Prof.Pravin M. Tambe. "Driver Drowsiness Detection using Raspberry Pi." International Journal Of Advance Research And Innovative Ideas In Education 8.3(2022) : 2481-2488.
APA Akash Sanjay Sherkar, Dhananjay Uttam Ugale, Akshay Somanath Sonawane, Dipak Vishnu Daigavhane , & Prof.Pravin M. Tambe. (2022). Driver Drowsiness Detection using Raspberry Pi. International Journal Of Advance Research And Innovative Ideas In Education, 8(3), 2481-2488.
Chicago Akash Sanjay Sherkar, Dhananjay Uttam Ugale, Akshay Somanath Sonawane, Dipak Vishnu Daigavhane , and Prof.Pravin M. Tambe. "Driver Drowsiness Detection using Raspberry Pi." International Journal Of Advance Research And Innovative Ideas In Education 8, no. 3 (2022) : 2481-2488.
Oxford Akash Sanjay Sherkar, Dhananjay Uttam Ugale, Akshay Somanath Sonawane, Dipak Vishnu Daigavhane , and Prof.Pravin M. Tambe. 'Driver Drowsiness Detection using Raspberry Pi', International Journal Of Advance Research And Innovative Ideas In Education, vol. 8, no. 3, 2022, p. 2481-2488. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Driver_Drowsiness_Detection_using_Raspberry_Pi_ijariie17029.pdf (Accessed : ).
Harvard Akash Sanjay Sherkar, Dhananjay Uttam Ugale, Akshay Somanath Sonawane, Dipak Vishnu Daigavhane , and Prof.Pravin M. Tambe. (2022) 'Driver Drowsiness Detection using Raspberry Pi', International Journal Of Advance Research And Innovative Ideas In Education, 8(3), pp. 2481-2488IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Driver_Drowsiness_Detection_using_Raspberry_Pi_ijariie17029.pdf (Accessed : )
IEEE Akash Sanjay Sherkar, Dhananjay Uttam Ugale, Akshay Somanath Sonawane, Dipak Vishnu Daigavhane , and Prof.Pravin M. Tambe, "Driver Drowsiness Detection using Raspberry Pi," International Journal Of Advance Research And Innovative Ideas In Education, vol. 8, no. 3, pp. 2481-2488, May-Jun 2022. [Online]. Available: https://ijariie.com/AdminUploadPdf/Driver_Drowsiness_Detection_using_Raspberry_Pi_ijariie17029.pdf [Accessed : ].
Turabian Akash Sanjay Sherkar, Dhananjay Uttam Ugale, Akshay Somanath Sonawane, Dipak Vishnu Daigavhane , and Prof.Pravin M. Tambe. "Driver Drowsiness Detection using Raspberry Pi." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 8 number 3 ().
Vancouver Akash Sanjay Sherkar, Dhananjay Uttam Ugale, Akshay Somanath Sonawane, Dipak Vishnu Daigavhane , and Prof.Pravin M. Tambe. Driver Drowsiness Detection using Raspberry Pi. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2022 [Cited : ]; 8(3) : 2481-2488. Available from: https://ijariie.com/AdminUploadPdf/Driver_Drowsiness_Detection_using_Raspberry_Pi_ijariie17029.pdf
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