Driver Drowsiness Detection System Using OpenCV And IOT

Akshay Amrutkar; Nikunj Siramwar; Suyog Andhare; Avishkar Choure; Tushar Borude; Prof. Prasad Pratape

Driver Drowsiness Detection System Using OpenCV And IOT

May 2025

Vol-11, Issue-3

Paper ID: 26533

ISSN: 2395-4396

Downloads: 0

Abstract & Details

Research Area

Computer Science And Engineering

Keywords

Driver Drowsiness IOT OpenCV IR Sensor Arduino Nano Buzzer dilib Numpy Road Safety Detection.

Abstract

Driver drowsiness is a major cause of road accidents, leading to serious injuries or even death. This project introduces a real-time Driver Drowsiness Detection System that uses a camera and computer vision tools like OpenCV and MediaPipe to track the driver's face. It mainly looks at how the eyes behave, especially how long they stay closed, using something called the Eye Aspect Ratio (EAR). If the system detects that the driver is sleepy, it plays a sound to wake them up. It can also be connected to IoT devices to send alerts to family members or take safety actions like slowing down the vehicle. This system is affordable, easy to use, and can be added to modern vehicles to improve road safety.

License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author Information

#	Name	Institute / Affiliation
1	Akshay Amrutkar	MAEER's MIT College Of Railway Engineering And Research, Barshi
2	Nikunj Siramwar	MAEER's MIT College Of Railway Engineering And Research, Barshi
3	Suyog Andhare	MAEER's MIT College Of Railway Engineering And Research, Barshi
4	Avishkar Choure	MAEER's MIT College Of Railway Engineering And Research, Barshi
5	Tushar Borude	MAEER's MIT College Of Railway Engineering And Research, Barshi
6	Prof. Prasad Pratape	MAEER's MIT College Of Railway Engineering And Research, Barshi

How to Cite

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

APA Style

Amrutkar, Akshay, Siramwar, Nikunj, Andhare, Suyog, Choure, Avishkar, Borude, Tushar, & Pratape, Prof. Prasad (2025). Driver Drowsiness Detection System Using OpenCV And IOT. International Journal of Advance Research and Innovative Ideas In Education, 11(3), 807-812.

MLA Style

Amrutkar, Akshay, et al. "Driver Drowsiness Detection System Using OpenCV And IOT." International Journal of Advance Research and Innovative Ideas In Education, vol. 11, no. 3, 2025, pp. 807-812.

IEEE Style

Akshay Amrutkar, Nikunj Siramwar, Suyog Andhare, Avishkar Choure, Tushar Borude, and Prof. Prasad Pratape, "Driver Drowsiness Detection System Using OpenCV And IOT," International Journal of Advance Research and Innovative Ideas In Education, vol. 11, no. 3, pp. 807-812, 2025.

Vancouver Style

Amrutkar Akshay, Siramwar Nikunj, Andhare Suyog, Choure Avishkar, Borude Tushar, Pratape Prof. Prasad. Driver Drowsiness Detection System Using OpenCV And IOT. International Journal of Advance Research and Innovative Ideas In Education. 2025;11(3):807-812.

Harvard Style

Amrutkar, Akshay, Siramwar, Nikunj, Andhare, Suyog, Choure, Avishkar, Borude, Tushar, & Pratape, Prof. Prasad (2025) 'Driver Drowsiness Detection System Using OpenCV And IOT', International Journal of Advance Research and Innovative Ideas In Education, 11(3), pp. 807-812.

Chicago Style

Amrutkar, Akshay, et al. "Driver Drowsiness Detection System Using OpenCV And IOT." International Journal of Advance Research and Innovative Ideas In Education 11, no. 3 (2025): 807-812.

Turabian Style

Amrutkar, Akshay, et al. "Driver Drowsiness Detection System Using OpenCV And IOT." International Journal of Advance Research and Innovative Ideas In Education 11, no. 3 (2025): 807-812.