IoT Drowsiness Detection

May 2022
Vol-8, Issue-3
Paper ID: 16978
ISSN: 2395-4396
Downloads: 0

Abstract & Details

Research Area
Computer Engineering
Keywords
Goggles Drowsiness innovative Fatal.
Abstract
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.

Author Information

# Name Institute / Affiliation
1 Sakshi Manoj Pawar Marathwada Mitra Mandal’s Polytechnic
2 Nikita Deepak Jadhav Marathwada Mitra Mandal’s Polytechnic

How to Cite

Use the following formats to cite this article in your research.

APA Style
Pawar, Sakshi Manoj & Jadhav, Nikita Deepak (2022). IoT Drowsiness Detection. International Journal of Advance Research and Innovative Ideas In Education, 8(3), 2440-2444.
MLA Style
Pawar, Sakshi Manoj, and Nikita Deepak Jadhav. "IoT Drowsiness Detection." International Journal of Advance Research and Innovative Ideas In Education, vol. 8, no. 3, 2022, pp. 2440-2444.
IEEE Style
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, 2022.
Vancouver Style
Pawar Sakshi Manoj, Jadhav Nikita Deepak . IoT Drowsiness Detection. International Journal of Advance Research and Innovative Ideas In Education. 2022;8(3):2440-2444.
Harvard Style
Pawar, Sakshi Manoj & Jadhav, Nikita Deepak (2022) 'IoT Drowsiness Detection', International Journal of Advance Research and Innovative Ideas In Education, 8(3), pp. 2440-2444.
Chicago Style
Pawar, Sakshi Manoj and Nikita Deepak Jadhav. "IoT Drowsiness Detection." International Journal of Advance Research and Innovative Ideas In Education 8, no. 3 (2022): 2440-2444.
Turabian Style
Pawar, Sakshi Manoj and Nikita Deepak Jadhav. "IoT Drowsiness Detection." International Journal of Advance Research and Innovative Ideas In Education 8, no. 3 (2022): 2440-2444.

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