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Title: :  IoT Drowsiness Detection
PaperId: :  16978
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-16978
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Sakshi Manoj PawarMarathwada Mitra Mandal’s Polytechnic
Nikita Deepak JadhavMarathwada Mitra Mandal’s Polytechnic

Abstract

Computer Engineering
Goggles, Drowsiness, innovative, Fatal.
India is a developing nation. The number of vehicles in the country has increased over the last decade as the population has grown. Though road networks have improved, the increased vehicle population has exacerbated safety concerns. It is a well-known fact that "national health is more important than national wealth." As a result, road safety is a major public health concern, and attention must be paid to road safety measures. Drowsiness while driving causes major traffic accidents. Drowsiness caused by fatigue driving is becoming more common these days. This project is primarily concerned with road accidents that occur when people are sleepy and lethargic / half asleep or otherwise drowsy while driving The project employs an infrared sensor to determine whether a person is drowsy or not based on whether their eyes are closed or open.When the eyes are closed for more than 5 seconds, it detects sleep and alerts the user via a buzzer alarm. As in "The driver is sleepy." Accidents can occur as a result of inactivity, which is controlled and prevented by the alarm. The goal of this purpose design is to detect drowsy drivers in order to prevent accidents and improve highway safety. On the Arduino nano, a method for detecting driver drowsiness/sleepiness is developed. All of this is done on Google. The goal was to make drivers safer and reduce the number of fatalities caused by drowsy driving.

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IJARIIE Sakshi Manoj Pawar, and Nikita Deepak Jadhav. "IoT Drowsiness Detection" International Journal Of Advance Research And Innovative Ideas In Education Volume 8 Issue 3 2022 Page 2440-2444
MLA Sakshi Manoj Pawar, and Nikita Deepak Jadhav. "IoT Drowsiness Detection." International Journal Of Advance Research And Innovative Ideas In Education 8.3(2022) : 2440-2444.
APA Sakshi Manoj Pawar, & Nikita Deepak Jadhav. (2022). IoT Drowsiness Detection. International Journal Of Advance Research And Innovative Ideas In Education, 8(3), 2440-2444.
Chicago Sakshi Manoj Pawar, and Nikita Deepak Jadhav. "IoT Drowsiness Detection." International Journal Of Advance Research And Innovative Ideas In Education 8, no. 3 (2022) : 2440-2444.
Oxford Sakshi Manoj Pawar, and Nikita Deepak Jadhav. 'IoT Drowsiness Detection', International Journal Of Advance Research And Innovative Ideas In Education, vol. 8, no. 3, 2022, p. 2440-2444. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/IoT_Drowsiness_Detection_ijariie16978.pdf (Accessed : ).
Harvard Sakshi Manoj Pawar, and Nikita Deepak Jadhav. (2022) 'IoT Drowsiness Detection', International Journal Of Advance Research And Innovative Ideas In Education, 8(3), pp. 2440-2444IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/IoT_Drowsiness_Detection_ijariie16978.pdf (Accessed : )
IEEE Sakshi Manoj Pawar, and Nikita Deepak Jadhav, "IoT Drowsiness Detection," International Journal Of Advance Research And Innovative Ideas In Education, vol. 8, no. 3, pp. 2440-2444, May-Jun 2022. [Online]. Available: https://ijariie.com/AdminUploadPdf/IoT_Drowsiness_Detection_ijariie16978.pdf [Accessed : ].
Turabian Sakshi Manoj Pawar, and Nikita Deepak Jadhav. "IoT Drowsiness Detection." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 8 number 3 ().
Vancouver Sakshi Manoj Pawar, and Nikita Deepak Jadhav. IoT Drowsiness Detection. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2022 [Cited : ]; 8(3) : 2440-2444. Available from: https://ijariie.com/AdminUploadPdf/IoT_Drowsiness_Detection_ijariie16978.pdf
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